Search a library of small molecules to identify chemical structures which are most likely to bind to a target protein.
Predict three-dimensional structure of a protein or complex from its amino acid sequence.
Generate a new protein structure that binds to a target protein.
Comprehensive reference workflows that accelerate application development and deployment, featuring NVIDIA acceleration libraries, APIs, and microservices for AI agents, digital twins, and more.
Build your own agent to coordinate molecular design workflows.
Investigate, understand, and interpret single-cell data in minutes, not days, by leveraging RAPIDS-singlecell, powered by NVIDIA CUDA-X Data Science (RAPIDS™).
Easily run essential genomics workflows to save time leveraging Parabricks and CodonFM.
This workflow shows how generative AI can generate DNA sequences that can be translated into proteins for bioengineering.
This blueprint shows how generative AI and accelerated NIM microservices can design protein binders smarter and faster.
