Literature DB >> 17902636

SAR index: quantifying the nature of structure-activity relationships.

Lisa Peltason1, Jürgen Bajorath.   

Abstract

Structure-activity relationships (SARs) can display very different features. Small chemical modifications of active molecules often dramatically alter biological responses. By contrast, structurally diverse molecules can have similar activity. SARs can also be heterogeneous in nature. For example, for structurally diverse molecules with similar activity, closely related analogs might have significant differences in potency. Given the inherent complexity of SARs, it has been very difficult to estimate SAR characteristics from molecular structure. On the basis of systematic correlation of 2D structural similarity and compound potency, we have developed a function termed "SAR Index" that quantitatively describes the nature of SARs and establishes different SAR categories: continuous, discontinuous, heterogeneous-relaxed, and heterogeneous-constrained. These heterogeneous SAR categories are described for the first time. Given a set of active compounds and their potency values, SAR Index calculations can estimate how likely it is to identify structurally distinct molecules having similar activity.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17902636     DOI: 10.1021/jm0705713

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  24 in total

1.  Activity cliffs and activity cliff generators based on chemotype-related activity landscapes.

Authors:  Jaime Pérez-Villanueva; Oscar Méndez-Lucio; Olivia Soria-Arteche; José L Medina-Franco
Journal:  Mol Divers       Date:  2015-07-07       Impact factor: 2.943

Review 2.  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

3.  Exploring uncharted territories: predicting activity cliffs in structure-activity landscapes.

Authors:  Rajarshi Guha
Journal:  J Chem Inf Model       Date:  2012-08-16       Impact factor: 4.956

Review 4.  An outlook on using serial femtosecond crystallography in drug discovery.

Authors:  Alexey Mishin; Anastasiia Gusach; Aleksandra Luginina; Egor Marin; Valentin Borshchevskiy; Vadim Cherezov
Journal:  Expert Opin Drug Discov       Date:  2019-06-11       Impact factor: 6.098

5.  From bird's eye views to molecular communities: two-layered visualization of structure-activity relationships in large compound data sets.

Authors:  Shilva Kayastha; Ryo Kunimoto; Dragos Horvath; Alexandre Varnek; Jürgen Bajorath
Journal:  J Comput Aided Mol Des       Date:  2017-10-06       Impact factor: 3.686

6.  A comparison of molecular representations for lipophilicity quantitative structure-property relationships with results from the SAMPL6 logP Prediction Challenge.

Authors:  Raymond Lui; Davy Guan; Slade Matthews
Journal:  J Comput Aided Mol Des       Date:  2020-01-13       Impact factor: 3.686

7.  Local neighborhood behavior in a combinatorial library context.

Authors:  Dragos Horvath; Christian Koch; Gisbert Schneider; Gilles Marcou; Alexandre Varnek
Journal:  J Comput Aided Mol Des       Date:  2011-02-12       Impact factor: 3.686

8.  Structure-based predictions of activity cliffs.

Authors:  Jarmila Husby; Giovanni Bottegoni; Irina Kufareva; Ruben Abagyan; Andrea Cavalli
Journal:  J Chem Inf Model       Date:  2015-05-11       Impact factor: 4.956

9.  Estimation of the applicability domain of kernel-based machine learning models for virtual screening.

Authors:  Nikolas Fechner; Andreas Jahn; Georg Hinselmann; Andreas Zell
Journal:  J Cheminform       Date:  2010-03-11       Impact factor: 5.514

10.  Systematic analysis of genome-wide fitness data in yeast reveals novel gene function and drug action.

Authors:  Maureen E Hillenmeyer; Elke Ericson; Ronald W Davis; Corey Nislow; Daphne Koller; Guri Giaever
Journal:  Genome Biol       Date:  2010-03-12       Impact factor: 13.583

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.