bynvidia-bionemo· 32 skills
Run a complete computational drug discovery pipeline using NVIDIA BioNeMo NIMs: generate drug-like molecules with GenMol, dock them to a protein target with DiffDock, then predict binding affinity with Boltz2. Use this skill whenever the user wants to generate and screen small molecule drug candidates, perform hit discovery, optimize leads against a protein target, or do virtual screening combining molecule generation, docking, and affinity prediction. Triggers on: drug discovery pipeline, hit discovery, lead optimization, virtual screening, molecule generation, molecular docking, binding affinity, GenMol, DiffDock, Boltz2, SMILES, SAFE notation, NIM microservice. This is a multi-step pipeline composing three BioNeMo NIMs.
$npx -y skills add nvidia-bionemo/bionemo-agent-toolkit --skill drug-discovery-pipelineInstalls into the current project.
Run `npx skills use "https://github.com/nvidia-bionemo/bionemo-agent-toolkit" --skill "nvidia-bionemo/bionemo-agent-toolkit/drug-discovery-pipeline"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/nvidia-bionemo/bionemo-agent-toolkit" that are relevant to the current task. Run `npx skills add "https://github.com/nvidia-bionemo/bionemo-agent-toolkit"` and select the relevant skills, then follow their instructions.