molfeat

What problem does it solve?

This Skill simplifies the complex process of converting molecular structures into numerical representations required for machine learning, enabling advanced bio-research and drug discovery.

Core Features & Use Cases

• 100+ Featurizers: Access a vast library of molecular fingerprints, descriptors, and pre-trained embeddings (e.g., ECFP, MACCS, ChemBERTa).
• ML-Ready Output: Convert SMILES strings into feature vectors compatible with scikit-learn, PyTorch, and other ML frameworks.
• Use Case: Quickly generate ECFP fingerprints for a list of drug candidate molecules to train a QSAR model for predicting their binding affinity.

Quick Start

Use the molfeat skill to generate ECFP fingerprints for the SMILES string 'CCO'.