Alternatives to NVIDIA BioNeMo
Compare NVIDIA BioNeMo alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to NVIDIA BioNeMo in 2026. Compare features, ratings, user reviews, pricing, and more from NVIDIA BioNeMo competitors and alternatives in order to make an informed decision for your business.
-
1
AlphaFold
DeepMind
These exquisite, intricate machines are proteins. They underpin not just the biological processes in your body but every biological process in every living thing. They’re the building blocks of life. Currently, there are around 100 million known distinct proteins, with many more found every year. Each one has a unique 3D shape that determines how it works and what it does. But figuring out the exact structure of a protein remains an expensive and often time-consuming process, meaning we only know the exact 3D structure of a tiny fraction of the proteins known to science. Finding a way to close this rapidly expanding gap and predict the structure of millions of unknown proteins could not only help us tackle disease and more quickly find new medicines but perhaps also unlock the mysteries of how life itself works. -
2
HyperProtein
Hypercube
HyperProtein is Hypercube, Inc.'s new product focusing on the computational science associated with protein sequences. The product includes the analysis of one-dimensional protein sequences as well as the analysis of consequent three-dimensional protein structures. In particular, the relationship between sequence and structure is a fundamental facet of the product. Unlike individual software programs that provide capability for some aspect of protein sequence or structure, such as sequence alignment, HyperProtein puts together a multitude of Bioinformatics and Molecular Modeling tools related to the science that initiates with a protein sequence. -
3
3decision
Discngine
3decision® is a cloud-based protein structure repository designed for comprehensive structural data management and advanced analytics, enabling small molecule and biologics discovery teams to accelerate structure-based drug design. It centralizes and standardizes experimental and in-silico protein structures from public sources like RCSB PDB and AlphaFoldDB, as well as proprietary data, supporting formats like PDBx/mmCIF and ModelCIF. This ensures easy access to X-Ray, NMR, cryo-EM, and modeled structures, fostering collaboration and enhancing research efforts. Beyond storage, 3decision® enriches entries with metadata and sequence information, including protein-ligand interactions, antibody annotations, and binding site details. Advanced analytical tools identify druggable sites, assess off-target risks, and enable binding site comparisons, transforming vast structural data into actionable knowledge. Its cloud-based platform facilitates collaboration among research teams. -
4
Evo 2
Arc Institute
Evo 2 is a genomic foundation model capable of generalist prediction and design tasks across DNA, RNA, and proteins. It utilizes a frontier deep learning architecture to model biological sequences at single-nucleotide resolution, achieving near-linear scaling of compute and memory relative to context length. Trained with 40 billion parameters and a 1 megabase context length, Evo 2 processes over 9 trillion nucleotides from diverse eukaryotic and prokaryotic genomes. This extensive training enables Evo 2 to perform zero-shot function prediction across multiple biological modalities, including DNA, RNA, and proteins, and to generate novel sequences with plausible genomic architecture. The model's capabilities have been demonstrated in tasks such as designing functional CRISPR systems and predicting disease-causing mutations in human genes. Evo 2 is publicly accessible via Arc's GitHub repository and is integrated into the NVIDIA BioNeMo framework. -
5
LigPlot+
EMBL-EBI
LigPlot+ is a successor to our original LIGPLOT program for the automatic generation of 2D ligand-protein interaction diagrams. It is run from an intuitive java interface that allows on-screen editing of the plots via mouse click-and-drag operations. In addition to the new interface, the program includes several major enhancements over the old version. When two or more ligand-protein complexes are sufficiently similar, LigPlot+ can automatically display their interaction diagrams either superposed or side by side. Any conserved interactions are highlighted. The LigPlot+ suite also now includes an update of the original DIMPLOT program for plotting protein-protein or domain-domain interactions. Users can flexibly select the interface of interest and DIMPLOT will then generate a diagram showing the residue-residue interactions across the interface. To assist in interpretation, the residues in one of the interfaces can be optionally displayed in sequence order. -
6
Genedata Biologics
Genedata
Genedata Biologics® streamlines discovery of biotherapeutics including bispecifics, ADCs, TCRs, CAR-Ts, and AAVs. The most widely adopted platform across the industry, it integrates all discovery workflows so you can focus on true innovation. Accelerate research with a first-in-class platform uniquely designed from the start to digitalize biotherapeutic discovery. The platform facilitates complex R&D processes by designing, tracking, testing, and assessing novel biotherapeutics drugs. It works with any format, from antibodies, bi- or multi-specifics, ADCs, novel scaffolds, and therapeutic proteins, to engineered therapeutic cell lines such as TCRs and CAR-T cells. Acting as a central end-to-end data backbone, Genedata Biologics integrates all R&D processes, from library design and immunizations, selections and panning, molecular biology, screening, protein engineering, expression, purification, and protein analytics, to candidate developability and manufacturability assessments. -
7
FutureHouse
FutureHouse
FutureHouse is a nonprofit AI research lab focused on automating scientific discovery in biology and other complex sciences. FutureHouse features superintelligent AI agents designed to assist scientists in accelerating research processes. It is optimized for retrieving and summarizing information from scientific literature, achieving state-of-the-art performance on benchmarks like RAG-QA Arena's science benchmark. It employs an agentic approach, allowing for iterative query expansion, LLM re-ranking, contextual summarization, and document citation traversal to enhance retrieval accuracy. FutureHouse also offers a framework for training language agents on challenging scientific tasks, enabling agents to perform tasks such as protein engineering, literature summarization, and molecular cloning. Their LAB-Bench benchmark evaluates language models on biology research tasks, including information extraction, database retrieval, etc. -
8
Swiss-PdbViewer
Swiss-PdbViewer
Swiss-PdbViewer (aka DeepView) is an application that provides a user-friendly interface allowing to analysis of several proteins at the same time. The proteins can be superimposed in order to deduce structural alignments and compare their active sites or any other relevant parts. Amino acid mutations, H-bonds, angles, and distances between atoms are easy to obtain thanks to the intuitive graphic and menu interface. Swiss-PdbViewer (aka DeepView) has been developed since 1994 by Nicolas Guex. Swiss-PdbViewer was initially tightly linked to SWISS-MODEL, an automated homology modeling server developed within the Swiss Institute of Bioinformatics (SIB) at the Structural Bioinformatics Group at the Biozentrum in Basel. However, the SWISS-MODEL web interface evolved to a point where it is now possible to use it directly for advanced modeling. Maintaining a direct interface with Swiss-PdbViewer is too complex and no longer supported. -
9
BIOVIA Discovery Studio
Dassault Systèmes
Today’s biopharmaceutical industry is marked by complexity: growing market demands for improved specificity and safety, novel treatment classes and more intricate mechanisms of disease. Keeping up with this complexity requires a deeper understanding of therapeutic behavior. Modeling and simulation methods provide a unique means to explore biological and physicochemical processes down to the atomic level. This can guide physical experimentation, accelerating the discovery and development process. BIOVIA Discovery Studio brings together over 30 years of peer-reviewed research and world-class in silico techniques such as molecular mechanics, free energy calculations, biotherapeutics developability and more into a common environment. It provides researchers with a complete toolset to explore the nuances of protein chemistry and catalyze discovery of small and large molecule therapeutics from Target ID to Lead Optimization. -
10
VeraChem
VeraChem
VeraChem LLC was founded in 2000 to advance the state of the art in computer-aided drug discovery and molecular design by developing computational chemistry methods that are based on cutting-edge basic science but are also applicable in applied science research settings. Efficient high-performance software implementations of these methods coupled with comprehensive user support are a central company strategy for product development. Current VeraChem software capabilities include protein-ligand and host-guest binding affinity prediction, fast calculation of accurate partial atomic charges for drug-like compounds, computation of energies and forces with all the commonly used empirical force fields, automatic generation of alternate resonance forms of drug-like compounds, conformational search with the powerful Tork algorithm, and automatic detection of topological and 3D molecular symmetries. VeraChem’s software packages are constructed from a modular code base. -
11
Profluent
Profluent
Profluent's platform revolutionizes protein design by integrating advanced AI with in-house wet-lab capabilities, enabling the creation of proteins either inspired by nature or reimagined from scratch. This holistic approach allows for precise, adaptable, and scalable solutions to complex biological challenges, delivering results that redefine what's possible with proteins. Profluent's foundation models push the frontier of protein design beyond the limitations of random discovery, facilitating the optimization of multiple attributes simultaneously, accessing greater sequence diversity, and enabling novel functionalities. By extrapolating into new protein spaces, Profluent offers unique possibilities beyond natural or patented proteins, making it cheaper, easier, and feasible for partners to achieve commercial success. Profluent's capabilities are built on a commitment to scientific rigor, leveraging diverse datasets and advanced AI to tackle challenges. -
12
Promethium
Promethium
Promethium is a GPU-powered chemistry simulation platform designed to accelerate drug and materials development by enabling faster and more accurate quantum chemistry calculations. Built from the ground up for NVIDIA datacenter GPUs like A100, it employs novel QC Ware streaming algorithms to achieve unprecedented computational speed and high throughput-to-power consumption ratios. It supports density functional theory calculations on systems with up to 2,000 atoms, allowing simulations of large molecular systems that are not feasible with legacy CPU-powered ab initio codes. For instance, a single-point calculation of a 2,056-atom protein can be completed in 14 hours on a single GPU. Promethium offers a range of capabilities, including single-point energy calculations, geometry optimization, conformer search, torsion scan, reaction path optimization, transition state optimization, interaction energy computations, and relaxed potential energy surface scans.Starting Price: $30 per hour -
13
Eidogen-Sertanty Target Informatics Platform (TIP)
Eidogen-Sertanty
Eidogen-Sertanty's Target Informatics Platform (TIP) is the world's first structural informatics system and knowledgebase that enables researchers with the ability to interrogate the druggable genome from a structural perspective. TIP amplifies the rapidly expanding body of experimental protein structure information and transforms structure-based drug discovery from a low-throughput, data-scarce discipline into a high-throughput, data-rich science. Designed to help bridge the knowledge gap between bioinformatics and cheminformatics, TIP supplies drug discovery researchers with a knowledge base of information that is both distinct from and highly complementary to information furnished by existing bio- and cheminformatics platforms. TIP's seamless integration of structural data management technology with unique target-to-lead calculation and analysis capabilities enhances all stages of the discovery pipeline. -
14
Dotmatics
Dotmatics
Dotmatics is the global leader in R&D scientific software that connects science, data, and decision-making. Combining a workflow and data platform with best-of-breed applications, we offer the first true end-to-end solutions for biology, chemistry, formulations, data management, flow cytometry, and more. Trusted by more than 2 million researchers from the world’s leading biopharma, chemicals and materials enterprises, and academic institutions, we are dedicated to working with the scientific community to help make the world a healthier, cleaner and safer place to live. Learn more about our platform and products, including GraphPad Prism, Geneious, SnapGene, Protein Metrics, LabArchives, and more. -
15
Aurora Drug Discovery
Aurora Fine Chemicals
Aurora employs quantum mechanics, thermodynamics, and an advanced continuous water model for solvation effects to calculate ligand´s binding affinities. This approach differs dramatically from scoring functions that are commonly used for binding affinity predictions. By including the entropy and aqueous electrostatic contributions in to the calculations directly, Aurora algorithms produce much more accurate and robust values of binding free energies. Interaction of a ligand with a protein is characterized by the value of binding free energy. The free energy (F) is the thermodynamic quantity that is directly related to experimentally measurable value of inhibition constant (IC50) and depends on electrostatic, quantum, aqueous solvation forces, as well as on statistical properties of interacting molecules. There are two major contributing quantities leading to non-additivity in F: 1) the electrostatic and solvation energy and 2) the entropy. -
16
AutoDock
AutoDock
AutoDock is a suite of automated docking tools. It is designed to predict how small molecules, such as substrates or drug candidates, bind to a receptor of known 3D structure. Over the years, it has been modified and improved to add new functionalities, and multiple engines have been developed. Current distributions of AutoDock consist of two generations of software: AutoDock 4 and AutoDock Vina. More recently, we developed AutoDock-GPU, an accelerated version of AutoDock4 that is hundreds of times faster than the original single-CPU docking code. AutoDock 4 actually consists of two main programs: autodock performs the docking of the ligand to a set of grids describing the target protein; autogrid pre-calculates these grids. In addition to using them for docking, the atomic affinity grids can be visualized. This can help, for example, to guide organic synthetic chemists design better binders. -
17
NVIDIA Clara
NVIDIA
Clara’s domain-specific tools, AI pre-trained models, and accelerated applications are enabling AI breakthroughs in numerous fields, including medical devices, imaging, drug discovery, and genomics. Explore the end-to-end pipeline of medical device development and deployment with the Holoscan platform. Build containerized AI apps with the Holoscan SDK and MONAI, and streamline deployment in next-generation AI devices with the NVIDIA IGX developer kits. The NVIDIA Holoscan SDK includes healthcare-specific acceleration libraries, pre-trained AI models, and reference applications for computational medical devices. -
18
QSimulate
QSimulate
QSimulate offers a suite of quantum simulation platforms that leverage quantum mechanics to solve complex, industrial-scale problems in life sciences and materials science. The QSP Life platform provides unique quantum-powered methods for drug discovery and optimization, enabling first-of-a-kind quantum simulations of ligand-protein interactions applicable throughout the computational drug discovery process. The QUELO platform performs hybrid quantum/classical free energy calculations, offering users the ability to run relative free energy calculations using the free energy perturbation (FEP) approach. Additionally, QSimulate's technology enables groundbreaking advances in quantum mechanics/molecular mechanics (QM/MM) simulations for large protein modeling. For materials science, the QSP Materials platform democratizes quantum mechanical simulations, allowing experimentalists to automate complex workflows without the need for specialization. -
19
SILCS
SilcsBio
Site-Identification by Ligand Competitive Saturation (SILCS) generates 3D maps (FragMaps) of interaction patterns for chemical functional groups with your target molecule. Site-Identification by Ligand Competitive Saturation (SILCS) generates 3D maps (FragMaps) of interaction patterns for chemical functional groups with your target molecule. SILCS reveals intricacies of dynamics and provides tools to optimize ligand scaffolds using qualitative and quantitative binding pockets insights allowing more rapid and effective drug design. SILCS uses multiple small molecule probes with various functional groups, explicit solvent modeling, and target molecule flexibility to perform protein target mapping. Visualize favorable interactions with the target macromolecule. Gain insights to design better ligands with optimally placed functional groups. -
20
Evo Designer
Arc Institute
Evo Designer is an advanced tool developed by the Arc Institute, leveraging the capabilities of the Evo 2 genomic foundation model to facilitate DNA sequence generation and analysis. This platform enables users to input nucleotide sequences or specify organisms, prompting the model to generate corresponding DNA sequences. It provides comprehensive annotations of coding regions and, for prokaryotic sequences, offers 3D protein visualizations utilizing ESMFold. Additionally, Evo Designer evaluates sequences by scoring their perplexity and per-nucleotide entropy, assisting researchers in assessing sequence complexity and variability. The underlying Evo 2 model is trained on over 9 trillion nucleotides from a diverse array of prokaryotic and eukaryotic genomes, employing a deep learning architecture that models biological sequences at single-nucleotide resolution with a context window extending up to 1 million tokens. -
21
Alchemite
Intellegens
Alchemite provides AI-augmented physical modeling and solutions that help organizations extract actionable insights from experimental and simulation data by combining machine learning with physics-informed models to improve prediction accuracy, reduce experimental costs, and optimize product and process development. Its solutions span materials discovery and design, predictive modelling of performance and reliability, multiscale modelling that connects atomistic to macroscopic behaviour, and automation of workflow tasks such as data integration, surrogate modelling, and model validation. It supports physics-aware neural networks and hybrid modelling approaches that respect underlying scientific laws while learning from data to enable faster and more accurate simulations, reduced reliance on expensive physical testing, and improved decision-making. Intellegens’ tools are applied in areas such as battery performance prediction, chemical process optimization, etc. -
22
Recursion
Recursion
Recursion is a TechBio company focused on transforming drug discovery by combining biology, data, and artificial intelligence. Founded over a decade ago, the company pioneered the use of large-scale cellular imaging to train AI models that decode the biological drivers of disease. Recursion’s mission is to deliver better medicines through novel insights and precision design, reducing the high failure rates of traditional drug development. Its proprietary Recursion OS platform integrates massive biological datasets with machine learning to accelerate discovery from target identification to clinical development. The company has built an advanced pipeline of potential first-in-class and best-in-class therapies targeting aggressive cancers and rare diseases. Automated wet labs and robotics enable millions of experiments per week, feeding continuous learning into its AI models. -
23
alvaBuilder
Alvascience
alvaBuilder is a no-code de novo molecular design software for generating novel chemical structures that satisfy user-defined structural, physicochemical, and modeling constraints. It enables the creation of new molecules starting from scratch or by evolving existing structures using fragment-based and rule-driven approaches. alvaBuilder integrates seamlessly with QSAR/QSPR workflows, allowing users to guide molecule generation using predictive models, descriptor ranges, and property targets. The software supports medicinal chemistry, lead optimization, and virtual screening tasks by efficiently exploring chemical space while maintaining chemical feasibility and interpretability. alvaBuilder is designed for research and industrial applications where transparent, controllable, and reproducible molecular generation is required. -
24
MEGA
MEGA
MEGA (Molecular Evolutionary Genetics Analysis) is a powerful and user-friendly software suite designed for analyzing DNA and protein sequence data from species and populations. It facilitates both automatic and manual sequence alignment, phylogenetic tree inference, and evolutionary hypothesis testing. MEGA supports a variety of statistical methods including maximum likelihood, Bayesian inference, and ordinary least squares, making it an essential tool for comparative sequence analysis and understanding molecular evolution. MEGA offers advanced features such as real-time caption generation to help explain the results and methods used in analysis and the maximum composite likelihood method for estimating evolutionary distances. The software is equipped with robust visual tools like the alignment/trace editor and tree explorer and supports multi-threading for efficient processing. MEGA can be run on multiple operating systems, including Windows, Linux, and macOS.Starting Price: Free -
25
CryoTrack
CryoTrack
CryoTrackIMS is a complete software package - ideal for molecular biology, cell banks, cellular biology, clinical samples, biorepository, biobanking, biochemistry, immunology and protein labs, high-throughput screening, QA, IVF labs and core labs and facilities. Create any box, plate or pie configuration - select rows and columns or select a Pie configuration - your box is created in seconds ready to input data. Inventory of valuable biological samples and specimen is critical for basic research and biotech business. Keeping track of large numbers and types of samples (DNA, RNA, plasmids, clones, proteins, peptides, probes, antibodies, enzymes, specimen, tissues, cell lines and more) and where they are and their precise location is a nightmare and daunting task for many that cost a great deal not only in monetary terms but also leads to frustrations and time loss. CryoTrack offers a complete solution for individual labs in universities, clinics, biotech and pharmaceutical companies. -
26
Ascalaph Designer
Agile Molecule
Ascalaph Designer is a general-purpose program for molecular dynamic simulations. Under a single graphical environment are represented as their own implementation of molecular dynamics as well as the methods of classical and quantum mechanics of popular programs. Molecular geometry optimization with conjugate gradient methods. Shows molecular models in separate windows. Each window has two cameras, which allow the model to be simultaneously visualized from two sides and in different graphic modes. The subwindow can be opened by dragging the splitter in the right corner of each graphical window. Clicking on an atom or bond with the left mouse button slightly changes their color and a brief info about the picked object appears in the status bar. The wire-frame style is convenient for large molecules, particularly, proteins. Drawing is very fast for this style. Finally, CPK wire frame combines the properties of several above styles.Starting Price: Free -
27
Scitara DLX
Scitara
Scitara DLX™ offers a rapid connectivity infrastructure for any instrument in the life science laboratory in a fully compliant and auditable cloud-based platform. Scitara DLX™ is a universal digital data infrastructure that connects any instrument, resource, app and software in the laboratory. The cloud-based, fully auditable platform connects all data sources across the lab, allowing the free flow of data across multiple end points. This allows scientists to devote their time to scientific research, not waste it solving data issues. DLX curates and corrects data in flight to support the development of accurate, properly structured data models that feed AI and ML systems. This supports a successful digital transformation strategy in the pharma and biopharma industries. Unlocking insights from scientific data enables faster decision-making in drug discovery and development, helping bring drugs to market more quickly. -
28
Mass Dynamics
Mass Dynamics
Discover biological biomarkers, create insights into disease mechanisms, discover new drugs or identify changes in protein levels from a set of carefully designed experiments. We’ve made it easy to start unlocking the power of MS and Proteomics so you can focus on the biological complexity and move closer to the moment of discovery. Our automated and repeatable workflow allows for quicker experiment startup and turnaround times, giving you the control and flexibility to make and act on decisions in the moment. Allowing you to focus on biological insights and human-to-human collaboration, our proteomics data processing workflow is built to scale, repeatedly. We’ve pushed heavy and repetitive processing to the cloud, enabling a seamless and enjoyable experience. Our intelligent Proteomics workflow seamlessly integrates complex moving parts to enable larger experiments to be processed and analyzed with ease. -
29
YASARA
YASARA
YASARA is a molecular graphics, modeling, and simulation program for Windows, Linux, MacOS, and Android developed in 1993, that finally makes it really easy to answer your questions. With an intuitive user interface, photorealistic graphics, and support for affordable virtual reality headsets, shutter glasses, autostereoscopic displays, and input devices, YASARA creates a new level of interaction with the 'artificial reality', that allows you to focus on your goal and forget about the details of the program. YASARA is powered by PVL (Portable Vector Language), a new development framework that provides performance way above traditional software. PVL allows you to visualize even the largest proteins and enables true interactive real-time simulations with highly accurate force fields on standard PCs, making use of GPUs if available. You can push and pull molecules around and work with dynamic models instead of static pictures.Starting Price: Free -
30
alvaMolecule
Alvascience
alvaMolecule is a no-code cheminformatics tool for visualizing, curating, and standardizing molecular datasets before analysis. It supports common molecular formats (SMILES, SDF/MOL2) and lets users explore collections in grid or spreadsheet views, with automatic import of associated data. The software provides structure verification and standardization using predefined standardizers and custom SMIRKS rules, helps detect and manage duplicates, and offers scaffold analysis to summarize core frameworks. Built-in filters and charting tools enable sorting by substructure, calculated molecular descriptors, and physicochemical properties. alvaMolecule calculates ~88 structural and physicochemical properties, including drug-like and lead-like scores such as LogP, TPSA, and the Lipinski alert index, helping prepare high-quality datasets for QSAR/QSPR modeling, descriptor calculation, and virtual screening workflows. -
31
NVIDIA NeMo
NVIDIA
NVIDIA NeMo LLM is a service that provides a fast path to customizing and using large language models trained on several frameworks. Developers can deploy enterprise AI applications using NeMo LLM on private and public clouds. They can also experience Megatron 530B—one of the largest language models—through the cloud API or experiment via the LLM service. Customize your choice of various NVIDIA or community-developed models that work best for your AI applications. Within minutes to hours, get better responses by providing context for specific use cases using prompt learning techniques. Leverage the power of NVIDIA Megatron 530B, one of the largest language models, through the NeMo LLM Service or the cloud API. Take advantage of models for drug discovery, including in the cloud API and NVIDIA BioNeMo framework. -
32
BenevolentAI
BenevolentAI
BenevolentAI is an AI-enabled drug discovery platform and scientific technology company that unites advanced artificial intelligence, machine learning, and domain-specific science to accelerate the discovery, design, and development of new medicines for complex diseases by making sense of vast, diverse biomedical data and generating actionable scientific insights faster than traditional methods. Its proprietary Benevolent Platform ingests and harmonizes structured and unstructured biomedical information, including literature, genomics, clinical information, and multi-omics data, into a comprehensive knowledge graph, enabling scientists to reason across biological systems, generate hypotheses, predict novel drug targets, and design candidate molecules with higher confidence and lower failure rates. -
33
ProteinOS
Protein Platform
The Protein Platform is a collection of desktop software, web-based software, hardware, 3rd party services, and cloud infrastructure. The main customer facing component is our self updating, distributed windows desktop application ProteinOS which facilitates the efficient handling of customer order workflow for Wild Game Processors. Our kiosks consist of MiniPCs, POS Receipt Printers, Thermal Label Printers, RFID, mobile pc carts with onboard UPS for use away from a wall outlet, and proprietary hardware fingerprinting tying your hardware to your organization allowing fast and rigorously secure communication with Protein Platform's cloud infrastructure. Orders are assigned an RFID tag which when scanned at each station brings up the data required at that station. Customer notifications (SMS, Voice, Email) and customer invoices are automated and customizable. Quick views of current demand, freezer capacity, pending orders, and orders ready for pickup help keep your business moving!Starting Price: $100/month -
34
quattro/CM
quattro research
quattro research GmbH is an interdisciplinary team of scientists and IT specialists. We develop innovative solutions and products for our customers from the life science , pharma and chemistry industries. Integration and separation of databases and intellectual property after mergers and spin-offs respectively. Biological and chemical registration systems, including complex proteins, supporting the HELM notation. Scientists working with antibodies, antibodydrug-conjugates, large peptides, RNA molecules or any other biomolecule need appropriate software solutions. quattro research offers solutions for registration and management of biomolecules based on the open HELM Notation & Editor. -
35
Orbit BioSequence
Questel
Orbit BioSequence by Questel is a powerful IP intelligence software specifically designed to help researchers, patent professionals, and biotech companies analyze and manage biological sequence data within the intellectual property (IP) landscape. It offers an advanced solution for searching, analyzing, and monitoring nucleotide and protein sequences found in patent documents, giving users unprecedented access to sequence information critical for innovation and competitive analysis. Orbit BioSequence allows users to perform highly accurate similarity and identity searches across global patent databases, helping organizations identify existing patents, avoid infringement risks, and uncover licensing or partnership opportunities. It also integrates cutting-edge search algorithms and curated datasets to ensure precision and relevance in search results. -
36
AQBioSim
SandboxAQ
AQBioSim is a cloud-native platform developed by SandboxAQ that leverages Large Quantitative Models (LQMs) grounded in physics and chemistry to revolutionize materials discovery and optimization. By integrating Density Functional Theory (DFT), Iterative Full Configuration Interaction (iFCI), Generative AI, Bayesian Optimization, and Chemical Foundation Models, AQBioSim enables high-fidelity simulations of molecular and material behaviors under real-world conditions. AQBioSim's capabilities include predicting performance under various stresses, accelerating formulation through in silico testing, and exploring sustainable chemical processes. Notably, AQBioSim has demonstrated significant advancements in battery technology by reducing lithium-ion battery end-of-life prediction time by 95%, achieving 35x greater accuracy with 50x less data. -
37
ChemCopilot
ChemCopilot
ChemCopilot is an AI-native chemical formulation and product lifecycle management platform designed to transform how scientists, engineers, and R&D teams design, test, optimize, and manage chemical products and processes by combining advanced artificial intelligence with domain-specific chemistry knowledge, regulatory data, simulation capabilities, and real-time insights. It automates validation of product labels, ingredient restrictions, and safety data sheets against global compliance frameworks, eliminating disconnected spreadsheets and manual review while providing audit trails and real-time alerts to support regulatory adherence. ChemCopilot accelerates innovation by simulating chemical reactions, molecular interactions, and process workflows to predict formulation performance and outcomes that traditional general-purpose tools cannot provide, and it integrates real-time data from laboratory and industrial systems to drive data-driven decisions. -
38
NVIDIA NeMo Megatron
NVIDIA
NVIDIA NeMo Megatron is an end-to-end framework for training and deploying LLMs with billions and trillions of parameters. NVIDIA NeMo Megatron, part of the NVIDIA AI platform, offers an easy, efficient, and cost-effective containerized framework to build and deploy LLMs. Designed for enterprise application development, it builds upon the most advanced technologies from NVIDIA research and provides an end-to-end workflow for automated distributed data processing, training large-scale customized GPT-3, T5, and multilingual T5 (mT5) models, and deploying models for inference at scale. Harnessing the power of LLMs is made easy through validated and converged recipes with predefined configurations for training and inference. Customizing models is simplified by the hyperparameter tool, which automatically searches for the best hyperparameter configurations and performance for training and inference on any given distributed GPU cluster configuration. -
39
IPA can also be used for analysis of small-scale experiments that generate gene and chemical lists. IPA allows searches for targeted information on genes, proteins, chemicals, and drugs, and building of interactive models of experimental systems. Data analysis and search capabilities help in understanding the significance of data, specific targets, or candidate biomarkers in the context of larger biological or chemical systems. The software is backed by the Ingenuity Knowledge Base of highly structured, detail-rich biological and chemical findings. Learn more about QIAGEN Ingenuity Pathway Analysis (IPA). Comparison Analysis determines the most significant pathways, upstream regulators, diseases, biological functions, and more, across time points, dose, or other conditions.
-
40
GeoMx Digital Spatial Profiler (DSP)
nanoString
Quickly resolve tissue heterogeneity and the complexity of microenvironments with the GeoMx Digital Spatial Profiler (DSP), the most flexible and robust spatial multi-omic platform for analysis of FFPE and fresh frozen tissue sections. GeoMx is the only spatial biology platform that non-destructively profiles the expression of RNA and protein from distinct tissue compartments and cell populations with an automated and scalable workflow that integrates with standard histology staining. Spatially profile the whole transcriptome and 570+ protein targets separately or simultaneously from your choice of sample inputs: whole tissue sections, tissue microarrays (TMAs), or organoids. Make GeoMx DSP your spatial biology platform of choice for biomarker discovery and hypothesis testing. Decide where to draw the line and let the tissue be your guide with biology-driven profiling that empowers you to choose the tissue microenvironments and cell types that matter most to you. -
41
CAI Provisions
CAI Software
Choosing the right business management software for your protein or specialty food processing and distribution business can be challenging. That’s because some packages don’t offer everything you need, while others are either too expensive to purchase and or just too complex to operate. Whether you’re a meat/protein processor requiring portion control and custom cutting capabilities or a specialty food processor using bills of materials or recipes to cook, bake, fry, mix or assemble your products and looking to gain better control and visibility over your processes, Provisions gives you the tools to improve efficiency, reduce business costs and maximize margins. Each of our software solutions has a specialized team of professionals dedicated to supporting you during and after your implementation. We go above and beyond to ensure your software runs smoothly and provides value every day.Starting Price: $15000.00/one-time -
42
PDQuest
Bio-Rad Laboratories
PDQuest 2-D analysis software, version 8.0, offers comprehensive and flexible 2-D gel electrophoretic analysis. Choose PDQuest Basic for simple 2-D gel analysis or PDQuest Advanced for the latest available features for 2-D gel-based expression proteomics studies. Whether you choose the basic or advanced version, the sophisticated analysis tools reveal subtle differences among 2-D gels. Powerful auto-matching algorithms quickly and accurately match gels with little or no manual intervention. PDQuest software's flexible annotation features make it a useful tool to establish a centralized information repository, which allows virtually any type of characterizing data to be linked to each spot on a master gel image. It is easy to view and share information associated with identified proteins. Spot cutting configurations for high accuracy, high throughput, and flexibility in protein identification experiments. -
43
Megatron-Turing
NVIDIA
Megatron-Turing Natural Language Generation model (MT-NLG), is the largest and the most powerful monolithic transformer English language model with 530 billion parameters. This 105-layer, transformer-based MT-NLG improves upon the prior state-of-the-art models in zero-, one-, and few-shot settings. It demonstrates unmatched accuracy in a broad set of natural language tasks such as, Completion prediction, Reading comprehension, Commonsense reasoning, Natural language inferences, Word sense disambiguation, etc. With the intent of accelerating research on the largest English language model till date and enabling customers to experiment, employ and apply such a large language model on downstream language tasks - NVIDIA is pleased to announce an Early Access program for its managed API service to MT-NLG mode. -
44
NVIDIA PhysicsNeMo
NVIDIA
NVIDIA PhysicsNeMo is an open source Python deep-learning framework for building, training, fine-tuning, and inferring physics-AI models that combine physics knowledge with data to accelerate simulations, create high-fidelity surrogate models, and enable near-real-time predictions across domains such as computational fluid dynamics, structural mechanics, electromagnetics, weather and climate, and digital twin applications. It provides scalable, GPU-accelerated tools and Python APIs built on PyTorch and released under the Apache 2.0 license, offering curated model architectures including physics-informed neural networks, neural operators, graph neural networks, and generative AI–based approaches so developers can harness physics-driven causality alongside observed data for engineering-grade modeling. PhysicsNeMo includes end-to-end training pipelines from geometry ingestion to differential equations, reference application recipes to jump-start workflows.Starting Price: Free -
45
alvaDesc
Alvascience
alvaDesc is a cheminformatics software for the calculation and analysis of molecular descriptors, fingerprints, and structural patterns for QSAR, QSPR, read-across, and machine learning applications. It computes more than 5,000 molecular descriptors (0D–3D), including constitutional, topological, geometrical, electronic, physicochemical, and fragment-based descriptors. The software also generates molecular fingerprints and structural pattern counts for similarity analysis, clustering, and classification. Integrated tools support descriptor filtering and correlation analysis for robust and reproducible modeling. alvaDesc integrates seamlessly with KNIME and Python, enabling efficient connection to external data analysis and machine learning workflows. It is widely used in academic and industrial research and supported by extensive documentation and scientific publications. -
46
Causaly
Causaly
Leverage the power of AI to expedite the journey from bench research and laboratory insights to the launch of life-changing therapies. Gain up to 90% in research productivity by reducing your reading time from months to minutes. Cut through the noise with a high-precision, high-accuracy search to navigate the ever-growing volume of scientific literature with ease. Save time, reduce bias and increase odds of novel discoveries. Deeply explore disease biology and conduct advanced target discovery. Causaly’s high-precision knowledge graph consolidates evidence from millions of publications, making deep, unbiased scientific exploration possible. Rapidly navigate biological cause-and-effect relationships without being an expert. Get a view of all scientific documents and uncover hidden connections. Causaly’s powerful AI machine reads millions of published biomedical literature to support better decision-making and research outcomes. -
47
MolView
MolView
MolView is an intuitive, Open-Source web application to make science and education more awesome! MolView is mainly intended as a web-based data visualization platform. You can use MolView to search through different scientific databases including compound databases, protein databases and spectral databases, and view records from these databases as interactive visualizations using WebGL and HTML5 technologies. This web application is built on top of the JavaScript libraries and online services listed below. The Virtual Model Kit has been a source of inspiration for the birth of this project.Starting Price: Free -
48
GPT-NeoX
EleutherAI
An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library. This repository records EleutherAI's library for training large-scale language models on GPUs. Our current framework is based on NVIDIA's Megatron Language Model and has been augmented with techniques from DeepSpeed as well as some novel optimizations. We aim to make this repo a centralized and accessible place to gather techniques for training large-scale autoregressive language models, and accelerate research into large-scale training.Starting Price: Free -
49
ESMFold
Meta
ESMFold shows how AI can give us new tools to understand the natural world, much like the microscope, which enabled us to see into the world at an infinitesimal scale and opened up a whole new understanding of life. AI can help us understand the immense scope of natural diversity, and see biology in a new way. Much of AI research has focused on helping computers understand the world in a way similar to how humans do. The language of proteins is one that is beyond human comprehension and has eluded even the most powerful computational tools. AI has the potential to open up this language to our understanding. Studying AI in new domains such as biology can also give insight into artificial intelligence more broadly. Our work reveals connections across domains: large language models that are behind advances in machine translation, natural language understanding, speech recognition, and image generation are also able to learn deep information about biology.Starting Price: Free -
50
StrainControl Laboratory Manager
DNA Globe
Store strains, cell-lines, proteins, plasmids, oligos, chemicals, inventories etc in StrainControl. You can customize all field titles to fit your lab needs. It has never been easier to manage lab items. Try our free version today and get a feeling how StrainControl can help you and the other members in the lab. No need to ask for the same thing twice. Your lab will be running smoother than ever. Share your StrainControl database with other lab members over your computer network. With user management you can create various accounts to protect your database. StrainControl is maximized with features that will help you manage everything in the lab. Manage strains, cell-lines, proteins, plasmids, oligos, chemicals, inventories etc. Share your database on a network. Rename modules, column and text fields. Hide columns that are not used. Create user accounts (read/write/admin etc). Import or export using user-friendly guides. Link files (protocols, images etc) to database.Starting Price: $299 one-time payment
