Run cloud molecular modeling and medicinal-chemistry workflows via a Python API client.
npx skills add https://github.com/shushuzn/Rairos --skill rowan-shushuzn
Please help me install this Agent Skill. Skill: rowan Source: https://github.com/shushuzn/Rairos/tree/main/skills/rowan Command: npx skills add https://github.com/shushuzn/Rairos --skill rowan-shushuzn
Rowan removes the overhead of setting up local HPC/GPU infrastructure by providing a unified cloud workflow API for molecular modeling and drug-design tasks you would otherwise assemble from many separate tools.
Submit a descriptors workflow for a SMILES string and instantly retrieve computed descriptor values back in your Python workflow context.
High-intent search queries and answers about installing and using this skill.
You can run molecular docking and pKa prediction in the cloud by submitting chemical structures and protein inputs via a Python API client, avoiding local HPC setup entirely while retrieving scalable workflow results programmatically.
Yes, batch medicinal-chemistry workflows support programmatic screening of many candidate structures, enabling repeatable multi-step pipelines like tautomer search, docking, and pose analysis with consistent cloud infrastructure and result management.
Protein-ligand cofolding is a structure-based design workflow that processes protein inputs alongside ligands and generates MSA sequences, enabling downstream cofolding-oriented tasks for drug discovery campaigns without local GPU resources.
Yes, accessing cloud-based molecular modeling workflows requires a Python API client configured with a valid API key to submit inputs like SMILES strings and retrieve computed descriptor values or docking outputs.
The best way to generate conformer ensembles and compute molecular descriptors is using a unified cloud workflow API, which programmatically processes SMILES strings to deliver properties like solubility, permeability, and macropKa at scale.
Cloud API workflows for medicinal-chemistry pipelines are limited to supported tasks like docking, cofolding, and descriptor calculations, and they require consistent network access and valid API keys rather than local HPC offline execution.
InternScienceConvert IUPAC chemical names to SMILES strings via OPSIN.
tassiovaleRun molecular modeling workflows like pKa prediction via a Python API.
crazymsnOrchestrate cloud-native molecular modeling workflows via the Rowan Python API.
HeshamFSSelect and configure time integration methods for ODE and PDE simulations.
