bylearningmatter-mit· 60 skills
Compute single-trajectory MM-GBSA and / or MM-PBSA binding free energy estimates from a protein-ligand MD trajectory. Two backends: a fast OpenMM GBn2 path (no extra dependencies) and an AmberTools MMPBSA.py path that supports both GB (multiple igb models) and Poisson-Boltzmann PB on the same trajectory.
$npx -y skills add learningmatter-mit/atomisticskills --skill drug-mmpbsa-gbsaInstalls into the current project.
Run `npx skills use "https://github.com/learningmatter-mit/atomisticskills" --skill "learningmatter-mit/atomisticskills/drug-mmpbsa-gbsa"` 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/learningmatter-mit/atomisticskills" that are relevant to the current task. Run `npx skills add "https://github.com/learningmatter-mit/atomisticskills"` and select the relevant skills, then follow their instructions.