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.
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.
После установки вы можете использовать этот skill, выполнив следующую команду в терминале:
skills use molfeat