Literature DB >> 33712973

Outliers in SAR and QSAR: 3. Importance of considering the role of water molecules in protein-ligand interactions and quantitative structure-activity relationship studies.

Ki Hwan Kim1.   

Abstract

It is frequently mentioned that QSARs have not generally lived up to expectations, especially in cases where high predictability is expected yet failed to deliver satisfactory results. Even though outliers can provide an increased opportunity in drug discovery research, outliers in SAR and QSAR can contort predictions and affect the accuracy if proper attention is not given. The percentages of outliers in QSARs have not changed appreciably over the last decade. In our previous studies, we suggested two possible sources of outliers in SAR and QSAR. In this paper, we suggest an additional possible source of outliers in QSAR. We presented several literature examples that show one or more water molecules that play a critical role in protein-ligand binding interactions as observed in their crystal structures. These examples illustrate that failing to account for the effects of water molecules in protein-ligand interactions could mislead interpretation and possibly yield outliers in SAR and QSAR. Examples include cases where QSAR, considering the role of water molecules in protein-ligand crystal structures, provided deeper insight into the understanding and interpretation of the developed QSAR.

Entities:  

Keywords:  Outlier; QSAR; SAR; Source of outliers; Water molecule in the binding site; X-ray crystal structure

Mesh:

Substances:

Year:  2021        PMID: 33712973     DOI: 10.1007/s10822-021-00377-7

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  79 in total

Review 1.  Chem-bioinformatics: comparative QSAR at the interface between chemistry and biology.

Authors:  Corwin Hansch; David Hoekman; A Leo; David Weininger; Cynthia D Selassie
Journal:  Chem Rev       Date:  2002-03       Impact factor: 60.622

2.  C-QSAR: a database of 18,000 QSARs and associated biological and physical data.

Authors:  Alka Kurup
Journal:  J Comput Aided Mol Des       Date:  2003 Feb-Apr       Impact factor: 3.686

Review 3.  QSAR without borders.

Authors:  Eugene N Muratov; Jürgen Bajorath; Robert P Sheridan; Igor V Tetko; Dmitry Filimonov; Vladimir Poroikov; Tudor I Oprea; Igor I Baskin; Alexandre Varnek; Adrian Roitberg; Olexandr Isayev; Stefano Curtarolo; Denis Fourches; Yoram Cohen; Alan Aspuru-Guzik; David A Winkler; Dimitris Agrafiotis; Artem Cherkasov; Alexander Tropsha
Journal:  Chem Soc Rev       Date:  2020-05-01       Impact factor: 54.564

4.  The importance of outlier detection and training set selection for reliable environmental QSAR predictions.

Authors:  Erik Furusjö; Anders Svenson; Magnus Rahmberg; Magnus Andersson
Journal:  Chemosphere       Date:  2005-09-08       Impact factor: 7.086

5.  Outliers in SAR and QSAR: is unusual binding mode a possible source of outliers?

Authors:  Ki Hwan Kim
Journal:  J Comput Aided Mol Des       Date:  2007-03-03       Impact factor: 3.686

6.  Outliers in SAR and QSAR: 2. Is a flexible binding site a possible source of outliers?

Authors:  Ki Hwan Kim
Journal:  J Comput Aided Mol Des       Date:  2007-07-24       Impact factor: 3.686

7.  QSAR modeling: where have you been? Where are you going to?

Authors:  Artem Cherkasov; Eugene N Muratov; Denis Fourches; Alexandre Varnek; Igor I Baskin; Mark Cronin; John Dearden; Paola Gramatica; Yvonne C Martin; Roberto Todeschini; Viviana Consonni; Victor E Kuz'min; Richard Cramer; Romualdo Benigni; Chihae Yang; James Rathman; Lothar Terfloth; Johann Gasteiger; Ann Richard; Alexander Tropsha
Journal:  J Med Chem       Date:  2014-01-06       Impact factor: 7.446

Review 8.  How not to develop a quantitative structure-activity or structure-property relationship (QSAR/QSPR).

Authors:  J C Dearden; M T D Cronin; K L E Kaiser
Journal:  SAR QSAR Environ Res       Date:  2009       Impact factor: 3.000

9.  QSAR: dead or alive?

Authors:  Arthur M Doweyko
Journal:  J Comput Aided Mol Des       Date:  2008-01-09       Impact factor: 4.179

10.  Experimental Errors in QSAR Modeling Sets: What We Can Do and What We Cannot Do.

Authors:  Linlin Zhao; Wenyi Wang; Alexander Sedykh; Hao Zhu
Journal:  ACS Omega       Date:  2017-06-19
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  1 in total

1.  Outliers in SAR and QSAR: 4. effects of allosteric protein-ligand interactions on the classical quantitative structure-activity relationships.

Authors:  Ki Hwan Kim
Journal:  Mol Divers       Date:  2022-02-22       Impact factor: 3.364

  1 in total

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