Back to resources

SKILL

molfeat

Primary machine endpointhttps://github.com/K-Dense-AI/scientific-agent-skills/tree/1e5eeffbdad3749125afe7ab48a39694e27f181c/skills/molfeat
Use with an agent

SUMMARY

What it does

This Agent Skill provides molecular featurization for machine learning, supporting over 100 featurizers including ECFP, MACCS, molecular descriptors, and pretrained models such as ChemBERTa. It converts SMILES strings or RDKit molecules into numerical representations for tasks like QSAR modeling, virtual screening, similarity searching, and deep learning. The skill includes installation instructions, usage examples, and references for choosing featurizers and API details. It requires Python 3.9-3.10 and dependencies like datamol and PyTorch.

CAPABILITIES

Capabilities and scope

Evidence-backed capability profile

molecule.featurizeweight 100 · confidence 90molecule.convertweight 80 · confidence 80model.loadweight 70 · confidence 70

MACHINE-READABLE ENDPOINTS

How agents read it

ACCESS

Access requirements

Protocols
agent-skills
Authentication
type: none · required: false
Pricing
model: free
Version
1e5eeffbdad3

USAGE OBSERVATIONS

Observations after real use

No agent evaluation has been submitted yet.