数据与复现药物发现与化学信息学K-Dense-AI/claude-scientific-skills数据与复现
MO

Molfeat

维护者 K-Dense Inc. · 最近更新 2026年4月1日

Molfeat is a comprehensive Python library for molecular featuri.

Claude CodeOpenClawNanoClaw分析处理复现实验molfeatchemistrypackagecheminformatics & drug discovery

原始来源

K-Dense-AI/claude-scientific-skills

https://github.com/K-Dense-AI/claude-scientific-skills/tree/main/scientific-skills/molfeat

维护者
K-Dense Inc.
许可
Apache-2.0 license
最近更新
2026年4月1日

技能摘要

来自 SKILL.md 的关键信息

2 min

核心说明

  • Molfeat是一个comprehensive Python 库 ,用于 molecular featurization that unifies 100+ pre-trained embeddings 、 hand-crafted featurizers. Convert chemical structures (SMILES strings 或 RDKit molecules) into numerical representations ,用于 机器学习 tasks ,涵盖 QSAR modeling,virtual screening,相似性检索ing,、 深度学习 applications. Features fast parallel processing,兼容 scikit-learn transformers,、 built-in caching。
  • molfeat[dgl] - GNN models (GIN variants)。
  • molfeat[graphormer] - Graphormer models。
  • molfeat[transformer] - ChemBERTa,ChemGPT,MolT5。
  • molfeat[fcd] - FCD descriptors。

原始文档

SKILL.md 摘录

When to Use This Skill

This skill should be used when working with:

  • Molecular machine learning: Building QSAR/QSPR models, property prediction
  • Virtual screening: Ranking compound libraries for biological activity
  • Similarity searching: Finding structurally similar molecules
  • Chemical space analysis: Clustering, visualization, dimensionality reduction
  • Deep learning: Training neural networks on molecular data
  • Featurization pipelines: Converting SMILES to ML-ready representations
  • Cheminformatics: Any task requiring molecular feature extraction

Core Concepts

Molfeat organizes featurization into three hierarchical classes:

1. Calculators (molfeat.calc)

Callable objects that convert individual molecules into feature vectors. Accept RDKit Chem.Mol objects or SMILES strings.

Use calculators for:

  • Single molecule featurization
  • Custom processing loops
  • Direct feature computation

Example:

适用场景

  • **Molecular 机器学习**:Building QSAR/QSPR models,property prediction。
  • **Virtual screening**:Ranking compound libraries ,用于 biological activity。
  • **相似性检索ing**:Finding structurally similar molecules。
  • **Chemical space analysis**:聚类,visuali。

不适用场景

  • Do not rely on this catalog entry alone ,用于 installation 或 maintenance details。

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