Structure-based molecular modeling in SAR analysis and lead optimization
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652036%3A_____%2F21%3A00550559" target="_blank" >RIV/86652036:_____/21:00550559 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S2001037021000696?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2001037021000696?via%3Dihub</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.csbj.2021.02.018" target="_blank" >10.1016/j.csbj.2021.02.018</a>
Alternative languages
Result language
angličtina
Original language name
Structure-based molecular modeling in SAR analysis and lead optimization
Original language description
In silico methods like molecular docking and pharmacophore modeling are established strategies in lead identification. Their successful application for finding new active molecules for a target is reported by a plethora of studies. However, once a potential lead is identified, lead optimization, with the focus on improving potency, selectivity, or pharmacokinetic parameters of a parent compound, is a much more complex task. Even though in silico molecular modeling methods could contribute a lot of time and cost-saving by rationally filtering synthetic optimization options, they are employed less widely in this stage of research. In this review, we highlight studies that have successfully used computer-aided SAR analysis in lead optimization and want to showcase sound methodology and easily accessible in silico tools for this purpose. (C) 2021 The Authors. Published by Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10608 - Biochemistry and molecular biology
Result continuities
Project
<a href="/en/project/GJ19-22269Y" target="_blank" >GJ19-22269Y: Development of non-canonical inhibitors of glutamate carboxypeptidase II: structure-activity relationship studies and biological activity</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Computational and Structural Biotechnology Journal
ISSN
2001-0370
e-ISSN
2001-0370
Volume of the periodical
19
Issue of the periodical within the volume
2021-08-25
Country of publishing house
SE - SWEDEN
Number of pages
14
Pages from-to
1431-1444
UT code for WoS article
000684840700015
EID of the result in the Scopus database
2-s2.0-85102583356