Protein structure-based drug design: from docking to molecular dynamics
Publication type: Journal Article
Publication date: 2018-02-01
scimago Q1
wos Q1
SJR: 2.908
CiteScore: 12.3
Impact factor: 7.0
ISSN: 0959440X, 1879033X
PubMed ID:
29149726
Molecular Biology
Structural Biology
Abstract
Recent years have witnessed rapid developments of computer-aided drug design methods, which have reached accuracy that allows their routine practical applications in drug discovery campaigns. Protein structure-based methods are useful for the prediction of binding modes of small molecules and their relative affinity. The high-throughput docking of up to 106 small molecules followed by scoring based on implicit-solvent force field can robustly identify micromolar binders using a rigid protein target. Molecular dynamics with explicit solvent is a low-throughput technique for the characterization of flexible binding sites and accurate evaluation of binding pathways, kinetics, and thermodynamics. In this review we highlight recent advancements in applications of ligand docking tools and molecular dynamics simulations to ligand identification and optimization.
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Metrics
486
Total citations:
486
Citations from 2025:
59
(12.14%)
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Śledź P., Caflisch A. Protein structure-based drug design: from docking to molecular dynamics // Current Opinion in Structural Biology. 2018. Vol. 48. pp. 93-102.
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Śledź P., Caflisch A. Protein structure-based drug design: from docking to molecular dynamics // Current Opinion in Structural Biology. 2018. Vol. 48. pp. 93-102.
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RIS
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TY - JOUR
DO - 10.1016/j.sbi.2017.10.010
UR - https://doi.org/10.1016/j.sbi.2017.10.010
TI - Protein structure-based drug design: from docking to molecular dynamics
T2 - Current Opinion in Structural Biology
AU - Śledź, Paweł
AU - Caflisch, Amedeo
PY - 2018
DA - 2018/02/01
PB - Elsevier
SP - 93-102
VL - 48
PMID - 29149726
SN - 0959-440X
SN - 1879-033X
ER -
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@article{2018_Śledź,
author = {Paweł Śledź and Amedeo Caflisch},
title = {Protein structure-based drug design: from docking to molecular dynamics},
journal = {Current Opinion in Structural Biology},
year = {2018},
volume = {48},
publisher = {Elsevier},
month = {feb},
url = {https://doi.org/10.1016/j.sbi.2017.10.010},
pages = {93--102},
doi = {10.1016/j.sbi.2017.10.010}
}