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By k-dense-ai

molfeat

k-dense-ai1.7k installs

Build molecular features without losing label alignment.

What it does

Convert small-molecule structures into features for molecular machine learning and similarity search.

When to use it

Use when converting SMILES or RDKit molecules into molecular representations or comparing representations on the same split and assay endpoint.

How to use it

It changes how the agent implements molecular featurization, preserving record alignment, keeping learned preprocessing inside training folds, and saving reproducibility information.

What you provide

  • An existing project

Uses

Good to know

  • advertises something the task does not need

Latest review

What you need · 7

Requires Python 3.11–3.14; macOS Intel requires Python 3.11–3.12 and platform-specific dependency constraints.

Requires molfeat 1.0.0. Core fingerprints run offline; pretrained models need optional extras.


Access · 3

This skill

https://fs.molfeat.datamol.io/artifacts/

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Reads public model metadata

https://arxiv.org/abs/2609.00065

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Fetches the authors' citation record