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KRDS: a web server for evaluating drug resistance mutations in kinases by molecular docking

Kinases are major targets of anti-cancer therapies owing to their importance in signaling processes that regulate cell growth and proliferation. However, drug resistance has emerged as a major obstacle to cancer therapy. Resistance to drugs has various underlying mechanisms, including the acquisitio...

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Autores principales: Lee, Aeri, Hong, Seungpyo, Kim, Dongsup
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5891443/
https://www.ncbi.nlm.nih.gov/pubmed/29633047
http://dx.doi.org/10.1186/s13321-018-0274-y
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author Lee, Aeri
Hong, Seungpyo
Kim, Dongsup
author_facet Lee, Aeri
Hong, Seungpyo
Kim, Dongsup
author_sort Lee, Aeri
collection PubMed
description Kinases are major targets of anti-cancer therapies owing to their importance in signaling processes that regulate cell growth and proliferation. However, drug resistance has emerged as a major obstacle to cancer therapy. Resistance to drugs has various underlying mechanisms, including the acquisition of mutations at drug binding sites and the resulting reduction in drug binding affinity. Therefore, the identification of mutations that are relevant to drug resistance may be useful to overcome this issue. We hypothesized that these mutations can be identified by combining recent advances in computational methods for protein structure modeling and ligand docking simulation. Hence, we developed a web-based tool named the Kinase Resistance Docking System (KRDS) that enables the assessment of the effects of mutations on kinase-ligand interactions. KRDS receives a list of mutations in kinases, generates structural models of the mutants, performs docking simulations, and reports the results to users. The changes in docking scores and docking conformations can be analyzed to infer the effects of mutations on drug binding and drug resistance. We expect our tool to improve our understanding of drug binding mechanisms and facilitate the development of effective new drugs to overcome resistance related to kinases; it may be particularly useful for biomedical researchers who are not familiar with computational environments. Our tool is available at http://bcbl.kaist.ac.kr/KRDS/. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13321-018-0274-y) contains supplementary material, which is available to authorized users.
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spelling pubmed-58914432018-04-16 KRDS: a web server for evaluating drug resistance mutations in kinases by molecular docking Lee, Aeri Hong, Seungpyo Kim, Dongsup J Cheminform Software Kinases are major targets of anti-cancer therapies owing to their importance in signaling processes that regulate cell growth and proliferation. However, drug resistance has emerged as a major obstacle to cancer therapy. Resistance to drugs has various underlying mechanisms, including the acquisition of mutations at drug binding sites and the resulting reduction in drug binding affinity. Therefore, the identification of mutations that are relevant to drug resistance may be useful to overcome this issue. We hypothesized that these mutations can be identified by combining recent advances in computational methods for protein structure modeling and ligand docking simulation. Hence, we developed a web-based tool named the Kinase Resistance Docking System (KRDS) that enables the assessment of the effects of mutations on kinase-ligand interactions. KRDS receives a list of mutations in kinases, generates structural models of the mutants, performs docking simulations, and reports the results to users. The changes in docking scores and docking conformations can be analyzed to infer the effects of mutations on drug binding and drug resistance. We expect our tool to improve our understanding of drug binding mechanisms and facilitate the development of effective new drugs to overcome resistance related to kinases; it may be particularly useful for biomedical researchers who are not familiar with computational environments. Our tool is available at http://bcbl.kaist.ac.kr/KRDS/. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13321-018-0274-y) contains supplementary material, which is available to authorized users. Springer International Publishing 2018-04-10 /pmc/articles/PMC5891443/ /pubmed/29633047 http://dx.doi.org/10.1186/s13321-018-0274-y Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Software
Lee, Aeri
Hong, Seungpyo
Kim, Dongsup
KRDS: a web server for evaluating drug resistance mutations in kinases by molecular docking
title KRDS: a web server for evaluating drug resistance mutations in kinases by molecular docking
title_full KRDS: a web server for evaluating drug resistance mutations in kinases by molecular docking
title_fullStr KRDS: a web server for evaluating drug resistance mutations in kinases by molecular docking
title_full_unstemmed KRDS: a web server for evaluating drug resistance mutations in kinases by molecular docking
title_short KRDS: a web server for evaluating drug resistance mutations in kinases by molecular docking
title_sort krds: a web server for evaluating drug resistance mutations in kinases by molecular docking
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5891443/
https://www.ncbi.nlm.nih.gov/pubmed/29633047
http://dx.doi.org/10.1186/s13321-018-0274-y
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