Accelerate drug discovery with NVIDIA Clara™ for Biopharma, a collection of frameworks, applications, generative AI solutions, and pretrained models.
Accelerate breakthrough drug identification and improve the accuracy of target and compound selection.
Keep pace with AI innovation and drive outcomes within your organization.
Improve developer productivity and accelerate time to outcome.
NVIDIA NIM™ Agent Blueprints provide a comprehensive toolkit designed to simplify AI deployment and customization. It includes ready-to-use interactive applications, public datasets for workflow testing, and pretrained models for quick integration. With detailed reference architecture and API definitions, customization tools for modifying and evaluating AI models, and orchestration tools for managing and deploying workflow microservices, the blueprints streamline the entire process of developing, customizing, and deploying AI solutions.
The blueprint starts with AlphaFold2, which predicts the 3D structure of the target protein with high accuracy. The initial small molecules are then passed to MolMIM, which is then used to generate diverse small molecules for exploring chemical space to identify potential binders. These small molecules are evaluated by an Oracle model, which scores them based on predicted binding affinity and other crucial properties. Finally, DiffDock is employed to refine the interactions, predicting the optimal binding poses and enhancing the binding configurations. This integrated blueprint streamlines the identification and optimization of promising drug-like molecules, significantly reducing the time and cost associated with traditional drug discovery methods.
Head to the NVIDIA API catalog to experience BioNeMo with NIM microservices now or go to GitHub to start your deployment.
NVIDIA NIM offers a set of optimized microservices for AI models used in drug discovery. These prebuilt containers provide state-of-the-art performance and can be deployed anywhere to go from zero to inference in five minutes. Use à la carte NIM microservices to build your own workflow for custom drug discovery workflows.
Predicts the 3D structure of two proteins binding each other.
Predicts the 3D structure of a protein from its amino acid sequence.
Generates protein backbones for protein binder design.
Predicts 3D binding structure of a molecule to a protein.
Performs controlled generation, finding molecules with the right properties.
Predicts amino acid sequences for protein backbones.
Generates embeddings of proteins from their amino acid sequences.
Predicts the 3D structure of a protein from its amino acid sequence.
NVIDIA BioNeMo Framework is a collection of ready-made tools for accelerating the design and training of biomolecular AI models for drug discovery. It includes pretrained models, domain-specific workflows, and support for full-stack optimization of your distributed workloads. Download BioNeMo Framework from GitHub or NVIDIA NGC™, and run it on prem or on any cloud provider to quickly get insights from your data to use in your drug discovery research.
NVIDIA AI Enterprise is an end-to-end, cloud-native software platform that accelerates data science pipelines and streamlines the development and deployment of production-grade co-pilots and other generative AI applications.
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