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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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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. |
format | Online Article Text |
id | pubmed-8899505 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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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