Solvents to fragments to drugs: MD applications in drug design

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 bi...

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Autores principales: Defelipe, L.A., Arcon, J.P., Modenutti, C.P., Marti, M.A., Turjanski, A.G., Barril, X.
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Acceso en línea:http://hdl.handle.net/20.500.12110/paper_14203049_v23_n12_p_Defelipe
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spelling todo:paper_14203049_v23_n12_p_Defelipe2023-10-03T16:13:14Z Solvents to fragments to drugs: MD applications in drug design Defelipe, L.A. Arcon, J.P. Modenutti, C.P. Marti, M.A. Turjanski, A.G. Barril, X. Cosolvent molecular dynamics Docking Drug design Fragment screening Molecular dynamics ligand protein solvent chemistry drug design drug development metabolism molecular dynamics Drug Design Drug Discovery Ligands Molecular Dynamics Simulation Proteins Solvents 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. © 2018 by the authors. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_14203049_v23_n12_p_Defelipe
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Cosolvent molecular dynamics
Docking
Drug design
Fragment screening
Molecular dynamics
ligand
protein
solvent
chemistry
drug design
drug development
metabolism
molecular dynamics
Drug Design
Drug Discovery
Ligands
Molecular Dynamics Simulation
Proteins
Solvents
spellingShingle Cosolvent molecular dynamics
Docking
Drug design
Fragment screening
Molecular dynamics
ligand
protein
solvent
chemistry
drug design
drug development
metabolism
molecular dynamics
Drug Design
Drug Discovery
Ligands
Molecular Dynamics Simulation
Proteins
Solvents
Defelipe, L.A.
Arcon, J.P.
Modenutti, C.P.
Marti, M.A.
Turjanski, A.G.
Barril, X.
Solvents to fragments to drugs: MD applications in drug design
topic_facet Cosolvent molecular dynamics
Docking
Drug design
Fragment screening
Molecular dynamics
ligand
protein
solvent
chemistry
drug design
drug development
metabolism
molecular dynamics
Drug Design
Drug Discovery
Ligands
Molecular Dynamics Simulation
Proteins
Solvents
description 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. © 2018 by the authors.
format JOUR
author Defelipe, L.A.
Arcon, J.P.
Modenutti, C.P.
Marti, M.A.
Turjanski, A.G.
Barril, X.
author_facet Defelipe, L.A.
Arcon, J.P.
Modenutti, C.P.
Marti, M.A.
Turjanski, A.G.
Barril, X.
author_sort Defelipe, L.A.
title Solvents to fragments to drugs: MD applications in drug design
title_short Solvents to fragments to drugs: MD applications in drug design
title_full Solvents to fragments to drugs: MD applications in drug design
title_fullStr Solvents to fragments to drugs: MD applications in drug design
title_full_unstemmed Solvents to fragments to drugs: MD applications in drug design
title_sort solvents to fragments to drugs: md applications in drug design
url http://hdl.handle.net/20.500.12110/paper_14203049_v23_n12_p_Defelipe
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AT martima solventstofragmentstodrugsmdapplicationsindrugdesign
AT turjanskiag solventstofragmentstodrugsmdapplicationsindrugdesign
AT barrilx solventstofragmentstodrugsmdapplicationsindrugdesign
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