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

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 p...

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Autores principales: Brown, Benjamin P., Vu, Oanh, Geanes, Alexander R., Kothiwale, Sandeepkumar, Butkiewicz, Mariusz, Lowe, Edward W., Mueller, Ralf, Pape, Richard, Mendenhall, Jeffrey, Meiler, Jens
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8899505/
https://www.ncbi.nlm.nih.gov/pubmed/35264967
http://dx.doi.org/10.3389/fphar.2022.833099
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author Brown, Benjamin P.
Vu, Oanh
Geanes, Alexander R.
Kothiwale, Sandeepkumar
Butkiewicz, Mariusz
Lowe, Edward W.
Mueller, Ralf
Pape, Richard
Mendenhall, Jeffrey
Meiler, Jens
author_facet Brown, Benjamin P.
Vu, Oanh
Geanes, Alexander R.
Kothiwale, Sandeepkumar
Butkiewicz, Mariusz
Lowe, Edward W.
Mueller, Ralf
Pape, Richard
Mendenhall, Jeffrey
Meiler, Jens
author_sort Brown, Benjamin P.
collection PubMed
description 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.
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spelling pubmed-88995052022-03-08 Introduction to the BioChemical Library (BCL): An Application-Based Open-Source Toolkit for Integrated Cheminformatics and Machine Learning in Computer-Aided Drug Discovery Brown, Benjamin P. Vu, Oanh Geanes, Alexander R. Kothiwale, Sandeepkumar Butkiewicz, Mariusz Lowe, Edward W. Mueller, Ralf Pape, Richard Mendenhall, Jeffrey Meiler, Jens Front Pharmacol Pharmacology 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. Frontiers Media S.A. 2022-02-21 /pmc/articles/PMC8899505/ /pubmed/35264967 http://dx.doi.org/10.3389/fphar.2022.833099 Text en Copyright © 2022 Brown, Vu, Geanes, Kothiwale, Butkiewicz, Lowe, Mueller, Pape, Mendenhall and Meiler. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Pharmacology
Brown, Benjamin P.
Vu, Oanh
Geanes, Alexander R.
Kothiwale, Sandeepkumar
Butkiewicz, Mariusz
Lowe, Edward W.
Mueller, Ralf
Pape, Richard
Mendenhall, Jeffrey
Meiler, Jens
Introduction to the BioChemical Library (BCL): An Application-Based Open-Source Toolkit for Integrated Cheminformatics and Machine Learning in Computer-Aided Drug Discovery
title Introduction to the BioChemical Library (BCL): An Application-Based Open-Source Toolkit for Integrated Cheminformatics and Machine Learning in Computer-Aided Drug Discovery
title_full Introduction to the BioChemical Library (BCL): An Application-Based Open-Source Toolkit for Integrated Cheminformatics and Machine Learning in Computer-Aided Drug Discovery
title_fullStr Introduction to the BioChemical Library (BCL): An Application-Based Open-Source Toolkit for Integrated Cheminformatics and Machine Learning in Computer-Aided Drug Discovery
title_full_unstemmed Introduction to the BioChemical Library (BCL): An Application-Based Open-Source Toolkit for Integrated Cheminformatics and Machine Learning in Computer-Aided Drug Discovery
title_short Introduction to the BioChemical Library (BCL): An Application-Based Open-Source Toolkit for Integrated Cheminformatics and Machine Learning in Computer-Aided Drug Discovery
title_sort introduction to the biochemical library (bcl): an application-based open-source toolkit for integrated cheminformatics and machine learning in computer-aided drug discovery
topic Pharmacology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8899505/
https://www.ncbi.nlm.nih.gov/pubmed/35264967
http://dx.doi.org/10.3389/fphar.2022.833099
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