Fanwang Meng

Selector is a Python library for subset selection that provides diverse sampling algorithms and integrates with data analysis tools, with applications in computational chemistry and drug discovery.

The paper develops a hybrid modeling pipeline to identify antitubercular compounds with favorable potency and pharmacokinetics, resulting in 12 promising candidates from a large compound library.