TY - JOUR
T1 - Importance of protein dynamics in the structure-based drug discovery of class A G protein-coupled receptors (GPCRs)
AU - Lee, Yoonji
AU - Lazim, Raudah
AU - Macalino, Stephani Joy Y.
AU - Choi, Sun
N1 - Funding Information:
This work was supported by the Fibrosis Control Center (MRC) grant (No. 2018R1A5A2025286 ), Mid-career Researcher Program ( NRF-2017R1A2B4010084 ), and Bio & Medical Technology Development Program (No. 2018M3A9A7057263 ) funded by the Ministry of Science and ICT (MSIT) through the National Research Foundation of Korea (NRF).
Publisher Copyright:
© 2019 Elsevier Ltd
Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.
PY - 2019/4
Y1 - 2019/4
N2 - Demand for novel GPCR modulators is increasing as the association between the GPCR signaling pathway and numerous diseases such as cancers, psychological and metabolic disorders continues to be established. In silico structure-based drug design (SBDD) offers an outlet where researchers could exploit the accumulating structural information of GPCR to expedite the process of drug discovery. The coupling of structure-based approaches such as virtual screening and molecular docking with molecular dynamics and/or Monte Carlo simulation aids in reflecting the dynamics of proteins in nature into previously static docking studies, thus enhancing the accuracy of rationally designed ligands. This review will highlight recent computational strategies that incorporate protein flexibility into SBDD of GPCR-targeted ligands.
AB - Demand for novel GPCR modulators is increasing as the association between the GPCR signaling pathway and numerous diseases such as cancers, psychological and metabolic disorders continues to be established. In silico structure-based drug design (SBDD) offers an outlet where researchers could exploit the accumulating structural information of GPCR to expedite the process of drug discovery. The coupling of structure-based approaches such as virtual screening and molecular docking with molecular dynamics and/or Monte Carlo simulation aids in reflecting the dynamics of proteins in nature into previously static docking studies, thus enhancing the accuracy of rationally designed ligands. This review will highlight recent computational strategies that incorporate protein flexibility into SBDD of GPCR-targeted ligands.
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U2 - 10.1016/j.sbi.2019.03.015
DO - 10.1016/j.sbi.2019.03.015
M3 - Review article
C2 - 31102980
AN - SCOPUS:85065638412
SN - 0959-440X
VL - 55
SP - 147
EP - 153
JO - Current Opinion in Structural Biology
JF - Current Opinion in Structural Biology
ER -