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A Perspective on Water Site Prediction Methods for Structure Based Drug Design.
Graves, Alan P; Wall, Ian D; Edge, Colin M; Woolven, James M; Cui, Guanglei; Le Gall, Armelle; Hong, Xuan; Raha, Kaushik; Manas, Eric S.
Afiliação
  • Graves AP; Platform Technology and Science, GlaxoSmithKline, Collegeville, PA 19426, United States.
  • Wall ID; Platform Technology and Science, GlaxoSmithKline, Stevenage, SG1 2NY, United States.
  • Edge CM; Platform Technology and Science, GlaxoSmithKline, Stevenage, SG1 2NY, United States.
  • Woolven JM; Platform Technology and Science, GlaxoSmithKline, Stevenage, SG1 2NY, United States.
  • Cui G; Platform Technology and Science, GlaxoSmithKline, Collegeville, PA 19426, United States.
  • Le Gall A; Platform Technology and Science, GlaxoSmithKline, Stevenage, SG1 2NY, United States.
  • Hong X; Platform Technology and Science, GlaxoSmithKline, Collegeville, PA 19426, United States.
  • Raha K; Platform Technology and Science, GlaxoSmithKline, Collegeville, PA 19426, United States.
  • Manas ES; Platform Technology and Science, GlaxoSmithKline, Collegeville, PA 19426, United States.
Curr Top Med Chem ; 17(23): 2599-2616, 2017.
Article em En | MEDLINE | ID: mdl-28460610
ABSTRACT
Over the last decade, a number of computational methods have been developed, which attempt to evaluate the thermodynamic properties of individual water molecules at the solute-solvent interface, in order to assess contributions to protein-ligand binding. In some cases, these tools tell us what we already know, e.g. that hydrophobic pockets prefer lipophilic substituents, and in other cases the methods only seem to add clarity when retrospectively applied. Hence we have grappled with how to utilize such approaches to understand non-intuitive results and to generate chemistry ideas that otherwise would not have been developed. Here we provide our perspective on these methods and describe how results have been interpreted and applied. We include examples from GSK and elsewhere that highlight how water methods have been (1) utilized retrospectively to explain non-intuitive structure- activity relationships and (2) applied prospectively for chemistry design. Finally, we discuss where this field of study could lead to maximal impact in drug discovery research.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Água / Desenho de Fármacos Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Curr Top Med Chem Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Água / Desenho de Fármacos Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Curr Top Med Chem Ano de publicação: 2017 Tipo de documento: Article