Skill · em Dados, IA e pesquisa
torchdrug
Graph-based drug discovery toolkit. Molecular property prediction (ADMET), protein modeling, knowledge graph reasoning, molecular generation, retrosynthesis, GNNs (GIN, GAT, SchNet), 40+ datasets, for PyTorch-based ML on molecules, proteins, and biomedical graphs.
Procedência
- Origem: davila7/claude-code-templates
- Caminho:
cli-tool/components/skills/scientific/torchdrug - Versão fixada:
57f899e5394bb8ca166f38eacae8f0853cbfe033 - Licença: MIT
- Espelhado em 25/09/2026
- 1 download no Claude Code Templates (lido em 25/09/2026)
Antes de instalar
9 arquivos · 94,3 KB · só texto, nenhum script
Instalar na sua CLI
O comando baixa a versão fixada (commit 57f899e) direto da origem, para a pasta que a CLI lê. Precisa de curl (macOS e Linux); no Windows não há comando, porque o Rook Labs é para macOS.
Claude Code
Neste projeto: instala em .claude/skills/torchdrug/.
d=".claude/skills/torchdrug" u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/scientific/torchdrug" curl -fsSL --create-dirs \ -o "$d/SKILL.md" "$u/SKILL.md" \ -o "$d/references/core_concepts.md" "$u/references/core_concepts.md" \ -o "$d/references/datasets.md" "$u/references/datasets.md" \ -o "$d/references/knowledge_graphs.md" "$u/references/knowledge_graphs.md" \ -o "$d/references/models_architectures.md" "$u/references/models_architectures.md" \ -o "$d/references/molecular_generation.md" "$u/references/molecular_generation.md" \ -o "$d/references/molecular_property_prediction.md" "$u/references/molecular_property_prediction.md" \ -o "$d/references/protein_modeling.md" "$u/references/protein_modeling.md" \ -o "$d/references/retrosynthesis.md" "$u/references/retrosynthesis.md" \ -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"
Global: instala em ~/.claude/skills/torchdrug/.
d="$HOME/.claude/skills/torchdrug" u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/scientific/torchdrug" curl -fsSL --create-dirs \ -o "$d/SKILL.md" "$u/SKILL.md" \ -o "$d/references/core_concepts.md" "$u/references/core_concepts.md" \ -o "$d/references/datasets.md" "$u/references/datasets.md" \ -o "$d/references/knowledge_graphs.md" "$u/references/knowledge_graphs.md" \ -o "$d/references/models_architectures.md" "$u/references/models_architectures.md" \ -o "$d/references/molecular_generation.md" "$u/references/molecular_generation.md" \ -o "$d/references/molecular_property_prediction.md" "$u/references/molecular_property_prediction.md" \ -o "$d/references/protein_modeling.md" "$u/references/protein_modeling.md" \ -o "$d/references/retrosynthesis.md" "$u/references/retrosynthesis.md" \ -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"
Codex
Neste projeto: instala em .agents/skills/torchdrug/.
d=".agents/skills/torchdrug" u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/scientific/torchdrug" curl -fsSL --create-dirs \ -o "$d/SKILL.md" "$u/SKILL.md" \ -o "$d/references/core_concepts.md" "$u/references/core_concepts.md" \ -o "$d/references/datasets.md" "$u/references/datasets.md" \ -o "$d/references/knowledge_graphs.md" "$u/references/knowledge_graphs.md" \ -o "$d/references/models_architectures.md" "$u/references/models_architectures.md" \ -o "$d/references/molecular_generation.md" "$u/references/molecular_generation.md" \ -o "$d/references/molecular_property_prediction.md" "$u/references/molecular_property_prediction.md" \ -o "$d/references/protein_modeling.md" "$u/references/protein_modeling.md" \ -o "$d/references/retrosynthesis.md" "$u/references/retrosynthesis.md" \ -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"
Global: instala em ~/.agents/skills/torchdrug/.
d="$HOME/.agents/skills/torchdrug" u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/scientific/torchdrug" curl -fsSL --create-dirs \ -o "$d/SKILL.md" "$u/SKILL.md" \ -o "$d/references/core_concepts.md" "$u/references/core_concepts.md" \ -o "$d/references/datasets.md" "$u/references/datasets.md" \ -o "$d/references/knowledge_graphs.md" "$u/references/knowledge_graphs.md" \ -o "$d/references/models_architectures.md" "$u/references/models_architectures.md" \ -o "$d/references/molecular_generation.md" "$u/references/molecular_generation.md" \ -o "$d/references/molecular_property_prediction.md" "$u/references/molecular_property_prediction.md" \ -o "$d/references/protein_modeling.md" "$u/references/protein_modeling.md" \ -o "$d/references/retrosynthesis.md" "$u/references/retrosynthesis.md" \ -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"
Antigravity
Neste projeto: instala em .agents/skills/torchdrug/.
d=".agents/skills/torchdrug" u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/scientific/torchdrug" curl -fsSL --create-dirs \ -o "$d/SKILL.md" "$u/SKILL.md" \ -o "$d/references/core_concepts.md" "$u/references/core_concepts.md" \ -o "$d/references/datasets.md" "$u/references/datasets.md" \ -o "$d/references/knowledge_graphs.md" "$u/references/knowledge_graphs.md" \ -o "$d/references/models_architectures.md" "$u/references/models_architectures.md" \ -o "$d/references/molecular_generation.md" "$u/references/molecular_generation.md" \ -o "$d/references/molecular_property_prediction.md" "$u/references/molecular_property_prediction.md" \ -o "$d/references/protein_modeling.md" "$u/references/protein_modeling.md" \ -o "$d/references/retrosynthesis.md" "$u/references/retrosynthesis.md" \ -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"
Global: instala em ~/.gemini/antigravity-cli/skills/torchdrug/.
d="$HOME/.gemini/antigravity-cli/skills/torchdrug" u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/scientific/torchdrug" curl -fsSL --create-dirs \ -o "$d/SKILL.md" "$u/SKILL.md" \ -o "$d/references/core_concepts.md" "$u/references/core_concepts.md" \ -o "$d/references/datasets.md" "$u/references/datasets.md" \ -o "$d/references/knowledge_graphs.md" "$u/references/knowledge_graphs.md" \ -o "$d/references/models_architectures.md" "$u/references/models_architectures.md" \ -o "$d/references/molecular_generation.md" "$u/references/molecular_generation.md" \ -o "$d/references/molecular_property_prediction.md" "$u/references/molecular_property_prediction.md" \ -o "$d/references/protein_modeling.md" "$u/references/protein_modeling.md" \ -o "$d/references/retrosynthesis.md" "$u/references/retrosynthesis.md" \ -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"
Peça ao Rook
Já usa o Rook Labs? Cole no chat do Rook: instale a skill https://rooklabs.sh/marketplace/cct.torchdrug
Prévia do SKILL.md
---
name: torchdrug
description: "Graph-based drug discovery toolkit. Molecular property prediction (ADMET), protein modeling, knowledge graph reasoning, molecular generation, retrosynthesis, GNNs (GIN, GAT, SchNet), 40+ datasets, for PyTorch-based ML on molecules, proteins, and biomedical graphs."
---
# TorchDrug
## Overview
TorchDrug is a comprehensive PyTorch-based machine learning toolbox for drug discovery and molecular science. Apply graph neural networks, pre-trained models, and task definitions to molecules, proteins, and biological knowledge graphs, including molecular property prediction, protein modeling, knowledge graph reasonin…
## When to Use This Skill
This skill should be used when working with:
**Data Types:**
- SMILES strings or molecular structures
- Protein sequences or 3D structures (PDB files)
- Chemical reactions and retrosynthesis
- Biomedical knowledge graphs
- Drug discovery datasets
**Tasks:**
- Predicting molecular properties (solubility, toxicity, activity)
- Protein function or structure prediction
- Drug-target binding prediction
- Generating new molecular structures
- Planning chemical synthesis routes
- Link prediction in biomedical knowledge bases
- Training graph neural networks on scientific data
**Libraries and Integration:**
- TorchDrug is the primary library
- Often used with RDKit for cheminformatics
- Compatible with PyTorch and PyTorch Lightning
- Integrates with AlphaFold and ESM for proteins
## Getting Started
### Installation
…