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BANΔIT: B’‐Factor Analysis for Drug Design and Structural Biology

The analysis of B‐factor profiles from X‐ray protein structures can be utilized for structure‐based drug design since protein mobility changes have been associated with the quality of protein‐ligand interactions. With the BANΔIT (B’‐factor analysis and ΔB’ interpretation toolkit), we have developed...

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Detalles Bibliográficos
Autores principales: Barthels, Fabian, Schirmeister, Tanja, Kersten, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7461025/
https://www.ncbi.nlm.nih.gov/pubmed/32830452
http://dx.doi.org/10.1002/minf.202000144
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author Barthels, Fabian
Schirmeister, Tanja
Kersten, Christian
author_facet Barthels, Fabian
Schirmeister, Tanja
Kersten, Christian
author_sort Barthels, Fabian
collection PubMed
description The analysis of B‐factor profiles from X‐ray protein structures can be utilized for structure‐based drug design since protein mobility changes have been associated with the quality of protein‐ligand interactions. With the BANΔIT (B’‐factor analysis and ΔB’ interpretation toolkit), we have developed a JavaScript‐based browser application that provides a graphical user interface for the normalization and analysis of B’‐factor profiles. To emphasize the usability for rational drug design applications, we have analyzed a selection of crystallographic protein‐ligand complexes and have given exemplary conclusions for further drug optimization including the development of a B’‐factor‐supported pharmacophore model for SARS CoV‐2 main protease inhibitors. BANΔIT is available online at https://bandit.uni‐mainz.de. The source code can be downloaded from https://github.com/FBarthels/BANDIT.
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spelling pubmed-74610252020-09-02 BANΔIT: B’‐Factor Analysis for Drug Design and Structural Biology Barthels, Fabian Schirmeister, Tanja Kersten, Christian Mol Inform Application Notes The analysis of B‐factor profiles from X‐ray protein structures can be utilized for structure‐based drug design since protein mobility changes have been associated with the quality of protein‐ligand interactions. With the BANΔIT (B’‐factor analysis and ΔB’ interpretation toolkit), we have developed a JavaScript‐based browser application that provides a graphical user interface for the normalization and analysis of B’‐factor profiles. To emphasize the usability for rational drug design applications, we have analyzed a selection of crystallographic protein‐ligand complexes and have given exemplary conclusions for further drug optimization including the development of a B’‐factor‐supported pharmacophore model for SARS CoV‐2 main protease inhibitors. BANΔIT is available online at https://bandit.uni‐mainz.de. The source code can be downloaded from https://github.com/FBarthels/BANDIT. John Wiley and Sons Inc. 2020-09-06 2021-01 /pmc/articles/PMC7461025/ /pubmed/32830452 http://dx.doi.org/10.1002/minf.202000144 Text en © 2020 The Authors. Published by Wiley-VCH GmbH https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Application Notes
Barthels, Fabian
Schirmeister, Tanja
Kersten, Christian
BANΔIT: B’‐Factor Analysis for Drug Design and Structural Biology
title BANΔIT: B’‐Factor Analysis for Drug Design and Structural Biology
title_full BANΔIT: B’‐Factor Analysis for Drug Design and Structural Biology
title_fullStr BANΔIT: B’‐Factor Analysis for Drug Design and Structural Biology
title_full_unstemmed BANΔIT: B’‐Factor Analysis for Drug Design and Structural Biology
title_short BANΔIT: B’‐Factor Analysis for Drug Design and Structural Biology
title_sort banδit: b’‐factor analysis for drug design and structural biology
topic Application Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7461025/
https://www.ncbi.nlm.nih.gov/pubmed/32830452
http://dx.doi.org/10.1002/minf.202000144
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