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Drug design for ever, from hype to hope

In its first 25 years JCAMD has been disseminating a large number of techniques aimed at finding better medicines faster. These include genetic algorithms, COMFA, QSAR, structure based techniques, homology modelling, high throughput screening, combichem, and dozens more that were a hype in their tim...

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Detalles Bibliográficos
Autores principales: Seddon, G., Lounnas, V., McGuire, R., van den Bergh, T., Bywater, R. P., Oliveira, L., Vriend, G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3268973/
https://www.ncbi.nlm.nih.gov/pubmed/22252446
http://dx.doi.org/10.1007/s10822-011-9519-9
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author Seddon, G.
Lounnas, V.
McGuire, R.
van den Bergh, T.
Bywater, R. P.
Oliveira, L.
Vriend, G.
author_facet Seddon, G.
Lounnas, V.
McGuire, R.
van den Bergh, T.
Bywater, R. P.
Oliveira, L.
Vriend, G.
author_sort Seddon, G.
collection PubMed
description In its first 25 years JCAMD has been disseminating a large number of techniques aimed at finding better medicines faster. These include genetic algorithms, COMFA, QSAR, structure based techniques, homology modelling, high throughput screening, combichem, and dozens more that were a hype in their time and that now are just a useful addition to the drug-designers toolbox. Despite massive efforts throughout academic and industrial drug design research departments, the number of FDA-approved new molecular entities per year stagnates, and the pharmaceutical industry is reorganising accordingly. The recent spate of industrial consolidations and the concomitant move towards outsourcing of research activities requires better integration of all activities along the chain from bench to bedside. The next 25 years will undoubtedly show a series of translational science activities that are aimed at a better communication between all parties involved, from quantum chemistry to bedside and from academia to industry. This will above all include understanding the underlying biological problem and optimal use of all available data. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10822-011-9519-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-32689732012-02-16 Drug design for ever, from hype to hope Seddon, G. Lounnas, V. McGuire, R. van den Bergh, T. Bywater, R. P. Oliveira, L. Vriend, G. J Comput Aided Mol Des Perspective In its first 25 years JCAMD has been disseminating a large number of techniques aimed at finding better medicines faster. These include genetic algorithms, COMFA, QSAR, structure based techniques, homology modelling, high throughput screening, combichem, and dozens more that were a hype in their time and that now are just a useful addition to the drug-designers toolbox. Despite massive efforts throughout academic and industrial drug design research departments, the number of FDA-approved new molecular entities per year stagnates, and the pharmaceutical industry is reorganising accordingly. The recent spate of industrial consolidations and the concomitant move towards outsourcing of research activities requires better integration of all activities along the chain from bench to bedside. The next 25 years will undoubtedly show a series of translational science activities that are aimed at a better communication between all parties involved, from quantum chemistry to bedside and from academia to industry. This will above all include understanding the underlying biological problem and optimal use of all available data. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10822-011-9519-9) contains supplementary material, which is available to authorized users. Springer Netherlands 2012-01-18 2012 /pmc/articles/PMC3268973/ /pubmed/22252446 http://dx.doi.org/10.1007/s10822-011-9519-9 Text en © The Author(s) 2012 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
spellingShingle Perspective
Seddon, G.
Lounnas, V.
McGuire, R.
van den Bergh, T.
Bywater, R. P.
Oliveira, L.
Vriend, G.
Drug design for ever, from hype to hope
title Drug design for ever, from hype to hope
title_full Drug design for ever, from hype to hope
title_fullStr Drug design for ever, from hype to hope
title_full_unstemmed Drug design for ever, from hype to hope
title_short Drug design for ever, from hype to hope
title_sort drug design for ever, from hype to hope
topic Perspective
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3268973/
https://www.ncbi.nlm.nih.gov/pubmed/22252446
http://dx.doi.org/10.1007/s10822-011-9519-9
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