Literature DB >> 35264967

Introduction to the BioChemical Library (BCL): An Application-Based Open-Source Toolkit for Integrated Cheminformatics and Machine Learning in Computer-Aided Drug Discovery.

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.
Copyright © 2022 Brown, Vu, Geanes, Kothiwale, Butkiewicz, Lowe, Mueller, Pape, Mendenhall and Meiler.

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


  64 in total

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