What is TorchDrug used for?

TorchDrug is a comprehensive machine learning toolbox designed for drug discovery, supporting tasks like molecular property prediction, protein modeling, and knowledge graph reasoning.

How does it handle chemical reactions?

It includes a dedicated retrosynthesis pipeline that identifies reaction centers and completes synthons to plan synthetic routes for target molecules.

Can this skill help with ADMET prediction?

Yes, it provides specialized tasks and models for predicting ADMET properties, including toxicity, solubility, and metabolic stability.

Does it support protein structure files?

Yes, TorchDrug can process PDB files and work with 3D protein structures using geometric models like GearNet and SchNet.

TorchDrug Science Toolkit

Name: TorchDrug Science Toolkit
Author: ricable

byricable

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Data Science & ML

Provides an advanced machine learning framework for drug discovery, molecular property prediction, and protein modeling using PyTorch.

The TorchDrug skill equips Claude with specialized knowledge for scientific computing in the pharmaceutical and biochemical domains. It leverages a graph-based framework to perform complex tasks such as molecular property prediction (ADMET), protein sequence and structure analysis, and biomedical knowledge graph reasoning. By integrating over 40 curated datasets and numerous GNN architectures like GIN and SchNet, this skill enables researchers and developers to accelerate drug discovery workflows, ranging from generating novel molecular structures to planning multi-step retrosynthesis routes with production-grade precision.

Key Features

011 GitHub stars

02De novo molecular generation and multi-objective property optimization

03Graph-based molecular property prediction for ADMET and toxicity screening

04Protein sequence and 3D structure modeling with GearNet and ESM integration

05Biomedical knowledge graph reasoning for drug repurposing and link prediction

06Automated chemical retrosynthesis planning and reaction center identification

Use Cases

01Predicting the biological activity and toxicity of drug candidates

02Generating novel therapeutic compounds with specific chemical constraints

03Analyzing protein functions and structural properties for enzyme engineering

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ricable/ultimate-ai-agent torchdrug

For use in Claude.ai and ChatGPT

Download Skill