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Sapio Sciences makes AI-native drug discovery seamless with NVIDIA BioNeMo

Sapio Sciences

Integration of the NVIDIA BioNeMo platform enhances AI capabilities across the drug discovery lifecycle

21 Mar 2025

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Sapio Sciences has announced the integration of the NVIDIA BioNeMo platform into the Sapio Lab Informatics Platform. This integration brings AI-driven computational drug discovery directly into Sapio ELN (Electronic Lab Notebook), helping to streamline workflows and improve decision-making in drug discovery.

With the BioNeMo platform, researchers can accelerate drug discovery by leveraging science-specific AI frameworks, pre-trained models, and generative AI tools to streamline the identification of potential drug candidates and improve target selection accuracy. NVIDIA BioNeMo provides scientists with a framework for training and deploying large biomolecular language models at supercomputing scale.

The integration of BioNeMo into the Sapio Platform provides scientists with embedded in silico tools, enabling them to, for example, generate novel candidate molecules early in the research process and test their docking with a target protein. With AI-driven molecular simulations available within a single, unified workflow, researchers can streamline their processes, enhance innovation, and accelerate the transition from discovery to development.

Within Sapio ELN, researchers can access BioNeMo NIM microservices to rapidly identify and optimize drug candidates using AI-driven molecular modeling, including AlphaFold2 NIM for predicting accurate 3D protein structures; MoIMIM NIM to enable the design and optimization of small molecules; and DiffDock NIM, an AI-powered docking model developed by MIT. These models provide scientists with easy access to AI-driven tools without extensive setup, ensuring faster, more efficient research workflows.

Anthony Costa, Director, Digital Biology at NVIDIA, added, “Integrating BioNeMo into Sapio’s AI-driven research platform gives scientists access to advanced generative AI models for drug discovery. With AlphaFold2, MoIMIM, and DiffDock NIMs, researchers can predict, optimize, and validate drug candidates with greater speed and accuracy. This work underscores AI’s growing role in transforming pharmaceutical research and accelerating the path to breakthrough treatments.”

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Artificial Intelligence / Machine LearningArtificial intelligence (AI) and machine learning (ML) are transformative technologies used to analyze complex data, identify patterns, and make data-driven predictions across diverse scientific fields. Automate the analysis of large or complex data sets using AI algorithms and leverage machine learning models to improve diagnostics, accelerate drug discovery, and refine experimental design. Discover the best AI/ML software, platforms, and analytical tools in our peer-reviewed product directory: compare features, read customer reviews, and request pricing directly from manufacturers.Electronic Laboratory NotebooksElectronic Laboratory Notebooks (ELNs) are becoming increasingly popular for documenting experimental processes and for lab data management. An ELN is informatics software which can be biology specific, chemistry specific, cross-disciplinary or web-based. Advantages of an electronic lab notebook include increased data protection, efficiency and straightforward data searching and sharing.LIMSLIMS (Laboratory Information Management System) is an informatics software system used to improve the quality assurance and quality control (QA / QC) of data management. LIMS can be a standard for common lab workflows, such as commercial off the shelf systems (COTS), or customized for more specialized lab use. Systems are available for mainframe computers or PC.Protein CrystallographyProtein crystallization is the process of crystallizing purified proteins for 3D structure analysis by x-ray crystallography. The main methods of protein crystallization include sitting drop, hanging drop and microbatch. It is important to control parameters such as pH, temperature and concentration. Following crystallization, detectors and software are used for data collection and analysis.BiopharmaceuticalsBiopharmaceuticals are proteins and other compounds (such as nucleic acids) produced by living organisms that have uses as therapeutics or for in vivo diagnostics. The most well known example of a biopharmaceutical product, and the first to be approved for therapeutic use, was recombinant human insulin.Drug DiscoveryDrug discovery is the process of identifying potential new medications, involving stages such as target identification, compound screening, and preclinical development. It relies on cutting-edge technologies like high-throughput screening, artificial intelligence, and molecular modeling to accelerate the identification of drug candidates. Drug discovery plays a pivotal role in developing new therapies for diseases ranging from cancer to rare genetic disorders. Browse our peer-reviewed product directory to find the latest drug discovery technologies, compare options, check customer feedback, and get pricing directly from manufacturers.

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