All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • 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