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Solvents to Fragments to Drugs: MD Applications in Drug Design.
Defelipe, Lucas A; Arcon, Juan Pablo; Modenutti, Carlos P; Marti, Marcelo A; Turjanski, Adrián G; Barril, Xavier.
Afiliação
  • Defelipe LA; Departamento de Química Biológica, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires 1428, Argentina. ldefelipe@gmail.com.
  • Arcon JP; IQUIBICEN/UBA-CONICET, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires 1428, Argentina. ldefelipe@gmail.com.
  • Modenutti CP; Departamento de Química Biológica, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires 1428, Argentina. juanarcon@gmail.com.
  • Marti MA; IQUIBICEN/UBA-CONICET, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires 1428, Argentina. juanarcon@gmail.com.
  • Turjanski AG; Departamento de Química Biológica, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires 1428, Argentina. cpmode@gmail.com.
  • Barril X; IQUIBICEN/UBA-CONICET, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires 1428, Argentina. cpmode@gmail.com.
Molecules ; 23(12)2018 Dec 11.
Article em En | MEDLINE | ID: mdl-30544890
Simulations of molecular dynamics (MD) are playing an increasingly important role in structure-based drug discovery (SBDD). Here we review the use of MD for proteins in aqueous solvation, organic/aqueous mixed solvents (MDmix) and with small ligands, to the classic SBDD problems: Binding mode and binding free energy predictions. The simulation of proteins in their condensed state reveals solvent structures and preferential interaction sites (hot spots) on the protein surface. The information provided by water and its cosolvents can be used very effectively to understand protein ligand recognition and to improve the predictive capability of well-established methods such as molecular docking. The application of MD simulations to the study of the association of proteins with drug-like compounds is currently only possible for specific cases, as it remains computationally very expensive and labor intensive. MDmix simulations on the other hand, can be used systematically to address some of the common tasks in SBDD. With the advent of new tools and faster computers we expect to see an increase in the application of mixed solvent MD simulations to a plethora of protein targets to identify new drug candidates.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Solventes / Desenho de Fármacos / Proteínas / Simulação de Dinâmica Molecular Tipo de estudo: Prognostic_studies Idioma: En Revista: Molecules Assunto da revista: BIOLOGIA Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Argentina País de publicação: Suíça

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Solventes / Desenho de Fármacos / Proteínas / Simulação de Dinâmica Molecular Tipo de estudo: Prognostic_studies Idioma: En Revista: Molecules Assunto da revista: BIOLOGIA Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Argentina País de publicação: Suíça