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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
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lamm-mit
更新于 3/14/2026
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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.

安装
$ install --globalskills.sh
使用

安装后,您可以通过在终端运行以下命令来使用此技能:

skills use molfeat