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Evolution and intelligent design in drug development

Sophisticated protein kinase networks, empowering complexity in higher organisms, are also drivers of devastating diseases such as cancer. Accordingly, these enzymes have become major drug targets of the twenty-first century. However, the holy grail of designing specific kinase inhibitors aimed at s...

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Detalles Bibliográficos
Autores principales: Agafonov, Roman V., Wilson, Christopher, Kern, Dorothee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4440380/
https://www.ncbi.nlm.nih.gov/pubmed/26052517
http://dx.doi.org/10.3389/fmolb.2015.00027
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author Agafonov, Roman V.
Wilson, Christopher
Kern, Dorothee
author_facet Agafonov, Roman V.
Wilson, Christopher
Kern, Dorothee
author_sort Agafonov, Roman V.
collection PubMed
description Sophisticated protein kinase networks, empowering complexity in higher organisms, are also drivers of devastating diseases such as cancer. Accordingly, these enzymes have become major drug targets of the twenty-first century. However, the holy grail of designing specific kinase inhibitors aimed at specific cancers has not been found. Can new approaches in cancer drug design help win the battle with this multi-faced and quickly evolving enemy? In this perspective we discuss new strategies and ideas that were born out of a recent breakthrough in understanding the molecular basis underlying the clinical success of the cancer drug Gleevec. An “old” method, stopped-flow kinetics, combined with old enzymes, the ancestors dating back up to about billion years, provides an unexpected outlook for future intelligent design of drugs.
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spelling pubmed-44403802015-06-05 Evolution and intelligent design in drug development Agafonov, Roman V. Wilson, Christopher Kern, Dorothee Front Mol Biosci Molecular Biosciences Sophisticated protein kinase networks, empowering complexity in higher organisms, are also drivers of devastating diseases such as cancer. Accordingly, these enzymes have become major drug targets of the twenty-first century. However, the holy grail of designing specific kinase inhibitors aimed at specific cancers has not been found. Can new approaches in cancer drug design help win the battle with this multi-faced and quickly evolving enemy? In this perspective we discuss new strategies and ideas that were born out of a recent breakthrough in understanding the molecular basis underlying the clinical success of the cancer drug Gleevec. An “old” method, stopped-flow kinetics, combined with old enzymes, the ancestors dating back up to about billion years, provides an unexpected outlook for future intelligent design of drugs. Frontiers Media S.A. 2015-05-21 /pmc/articles/PMC4440380/ /pubmed/26052517 http://dx.doi.org/10.3389/fmolb.2015.00027 Text en Copyright © 2015 Agafonov, Wilson and Kern. http://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) or licensor 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 Molecular Biosciences
Agafonov, Roman V.
Wilson, Christopher
Kern, Dorothee
Evolution and intelligent design in drug development
title Evolution and intelligent design in drug development
title_full Evolution and intelligent design in drug development
title_fullStr Evolution and intelligent design in drug development
title_full_unstemmed Evolution and intelligent design in drug development
title_short Evolution and intelligent design in drug development
title_sort evolution and intelligent design in drug development
topic Molecular Biosciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4440380/
https://www.ncbi.nlm.nih.gov/pubmed/26052517
http://dx.doi.org/10.3389/fmolb.2015.00027
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