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rowan

Automate molecular modeling and medicinal-chemistry workflows via a Python API.

Updated May 24, 2026
Search Tags:#cloud computing#docking#python api#molecular modeling#pka prediction#rowan#batch screening
One-click install
npx skills add https://github.com/Estrella-231/Mathematical_modeling_tongmeng --skill rowan-estrella-231
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: rowan
Source: https://github.com/Estrella-231/Mathematical_modeling_tongmeng/tree/main/.agents/skills/rowan
Command: npx skills add https://github.com/Estrella-231/Mathematical_modeling_tongmeng --skill rowan-estrella-231

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Rowan solves the problem of scaling molecular modeling and medicinal-chemistry calculations without setting up and maintaining local HPC/GPU infrastructure.

Core Features & Use Cases

  • Batch-ready molecular workflows: Run descriptors, pKa/macropKa, conformer and tautomer ensembles, docking, and MD-style tasks programmatically via a Python API for large screening campaigns.
  • Structure-based design pipelines: Perform docking, analogue docking, MSA generation, and protein-ligand cofolding using consistent cloud-managed compute and result handling.
  • Reproducible, multi-step chemistry orchestration: Chain tasks such as tautomer search → conformer generation → docking, while retrieving typed results and raw data for downstream analysis.

Quick Start

Submit a descriptors workflow for aspirin from its SMILES string and immediately retrieve molecular properties.

Frequently Asked Questions about rowan

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run cloud molecular modeling workflows without HPC infrastructure?▼

Molecular modeling workflows like docking and pKa prediction execute through a Python API that automates cloud-native compute, eliminating local HPC or GPU infrastructure maintenance.

Can I run batch screening and docking from SMILES strings in Python?▼

Batch screening and docking execute from SMILES string inputs via a Python API, which automates multi-step molecular workflows and retrieves typed results for large-scale screening campaigns.

What molecular modeling calculations can I chain together for medicinal chemistry workflows?▼

You can chain tautomer search, conformer generation, docking, and pKa prediction into reproducible multi-step medicinal chemistry workflows, retrieving typed results and raw data for downstream analysis.

Do I need a Rowan API key to execute molecular dynamics and pKa prediction tasks?▼

A Rowan API key is required to execute molecular dynamics, macropKa prediction, and docking tasks through the Python API, targeting Python 3.12+ execution environments.

What is analogue docking and does it support protein-ligand cofolding in cloud workflows?▼

Analogue docking and protein-ligand cofolding run within structure-based design pipelines using consistent cloud-managed compute, alongside MSA generation and molecular dynamics tasks via the API.

Are local GPU resources required for large-scale molecular dynamics and conformer ensemble generation?▼

Local GPU resources are not required for molecular dynamics or conformer ensemble generation because the Python API utilizes cloud-managed compute for scalable batch screening and multi-step calculations.

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