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computational-chemistryresearch

molfeat

Molecular ML featurization library (100+ featurizers: ECFP, descriptors, ChemBERTa). Input: SMILES strings you already possess. Output: numerical feature vectors for QSAR/ML models. Does NOT retrieve compounds from any database — querying by topic name returns only a metadata stub. Use pubchem or chembl to obtain SMILES first, then featurize here. For ADMET predictions use tdc.

lamm-mit
maintainer
lamm-mit
Atualizado 3/14/2026
Estrelas
156
Forks
35
quick start

Installation and usage

Molecular ML featurization library (100+ featurizers: ECFP, descriptors, ChemBERTa). Input: SMILES strings you already possess. Output: numerical feature vectors for QSAR/ML models. Does NOT retrieve compounds from any database — querying by topic name returns only a metadata stub. Use pubchem or chembl to obtain SMILES first, then featurize here. For ADMET predictions use tdc.

Instalação
$ install --globalskills.sh
Uso

Depois de instalar, você pode usar esta skill executando o seguinte comando no terminal:

skills use molfeat