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Fragment Libraries Designed to Be Functionally Diverse Recover Protein Binding Information More Efficiently Than Standard Structurally Diverse Libraries.
Carbery, Anna; Skyner, Rachael; von Delft, Frank; Deane, Charlotte M.
Afiliação
  • Carbery A; Oxford Protein Informatics Group, Department of Statistics, University of Oxford, Oxford OX1 3LB, U.K.
  • Skyner R; Diamond Light Source, Harwell Science and Innovation Campus, Didcot OX11 0DE, U.K.
  • von Delft F; Diamond Light Source, Harwell Science and Innovation Campus, Didcot OX11 0DE, U.K.
  • Deane CM; Diamond Light Source, Harwell Science and Innovation Campus, Didcot OX11 0DE, U.K.
J Med Chem ; 65(16): 11404-11413, 2022 08 25.
Article em En | MEDLINE | ID: mdl-35960886
ABSTRACT
Current fragment-based drug design relies on the efficient exploration of chemical space by using structurally diverse libraries of small fragments. However, structurally dissimilar compounds can exploit the same interactions and thus be functionally similar. Using three-dimensional structures of many fragments bound to multiple targets, we examined if a better strategy for selecting fragments for screening libraries exists. We show that structurally diverse fragments can be described as functionally redundant, often making the same interactions. Ranking fragments by the number of novel interactions they made, we show that functionally diverse selections of fragments substantially increase the amount of information recovered for unseen targets compared to the amounts recovered by other methods of selection. Using these results, we design small functionally efficient libraries that can give significantly more information about new protein targets than similarly sized structurally diverse libraries. By covering more functional space, we can generate more diverse sets of drug leads.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Desenho de Fármacos / Bibliotecas de Moléculas Pequenas Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Desenho de Fármacos / Bibliotecas de Moléculas Pequenas Idioma: En Ano de publicação: 2022 Tipo de documento: Article