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Comprehensive reference workflows that accelerate application development and deployment, featuring NVIDIA acceleration libraries, APIs, and microservices for AI agents, digital twins, and more.
This blueprint shows how generative AI and accelerated NIM microservices can design protein binders smarter and faster.
This blueprint shows how generative AI and accelerated NIM microservices can design optimized small molecules smarter and faster.
Search a library of small molecules to identify chemical structures which are most likely to bind to a target protein.
Generate a new protein structure that binds to a target protein.
This workflow shows how generative AI can generate DNA sequences that can be translated into proteins for bioengineering.
A generative model of protein backbones for protein binder design.
ProteinMPNN is a deep learning model for predicting amino acid sequences for protein backbones.
Predict three-dimensional structure of a protein or complex from its amino acid sequence.
Generates a multiple sequence alignment from a query sequence and a protein sequence database search.
Predicts the 3D structure of a protein from its amino acid sequence.
Predicts the 3D structure of a protein from its amino acid sequence.
