| Literature DB >> 35264967 |
Benjamin P Brown1, Oanh Vu2, Alexander R Geanes2, Sandeepkumar Kothiwale2, Mariusz Butkiewicz2, Edward W Lowe2, Ralf Mueller2, Richard Pape2, Jeffrey Mendenhall2, Jens Meiler3,4.
Abstract
The BioChemical Library (BCL) cheminformatics toolkit is an application-based academic open-source software package designed to integrate traditional small molecule cheminformatics tools with machine learning-based quantitative structure-activity/property relationship (QSAR/QSPR) modeling. In this pedagogical article we provide a detailed introduction to core BCL cheminformatics functionality, showing how traditional tasks (e.g., computing chemical properties, estimating druglikeness) can be readily combined with machine learning. In addition, we have included multiple examples covering areas of advanced use, such as reaction-based library design. We anticipate that this manuscript will be a valuable resource for researchers in computer-aided drug discovery looking to integrate modular cheminformatics and machine learning tools into their pipelines.Entities:
Keywords: BCL; QSAR; biochemical library; cheminformatics; deep neural network; drug design; drug discovery; open-source
Year: 2022 PMID: 35264967 PMCID: PMC8899505 DOI: 10.3389/fphar.2022.833099
Source DB: PubMed Journal: Front Pharmacol ISSN: 1663-9812 Impact factor: 5.810