Literature DB >> 18081310

A quantitative index of substrate promiscuity.

Abhinav Nath1, William M Atkins.   

Abstract

Catalytic promiscuity is a widespread, but poorly understood, phenomenon among enzymes with particular relevance to the evolution of new functions, drug metabolism, and in vitro biocatalyst engineering. However, there is at present no way to quantitatively measure or compare this important parameter of enzyme function. Here we define a quantitative index of promiscuity (I) that can be calculated from the catalytic efficiencies of an enzyme toward a defined set of substrates. A weighted promiscuity index (J) that accounts for patterns of similarity and dissimilarity among the substrates in the set is also defined. Promiscuity indices were calculated for three different enzyme classes: eight serine and cysteine proteases, two glutathione S-transferase (GST) isoforms, and three cytochrome P450 (CYP) isoforms. The proteases ranged from completely specific (granzyme B, J = 0.00) to highly promiscuous (cruzain, J = 0.83). The four drug-metabolizing enzymes studied (GST A1-1 and the CYP isoforms) were highly promiscuous, with J values between 0.72 and 0.92; GST A4-4, involved in the clearance of lipid peroxidation products, is moderately promiscuous (J = 0.37). Promiscuity indices also allowed for studies of correlation between substrate promiscuity and an enzyme's activity toward its most-favored substrate, for each of the three enzyme classes.

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Year:  2007        PMID: 18081310     DOI: 10.1021/bi701448p

Source DB:  PubMed          Journal:  Biochemistry        ISSN: 0006-2960            Impact factor:   3.162


  26 in total

1.  Origins of specificity and promiscuity in metabolic networks.

Authors:  Pablo Carbonell; Guillaume Lecointre; Jean-Loup Faulon
Journal:  J Biol Chem       Date:  2011-11-03       Impact factor: 5.157

2.  Ensemble perspective for catalytic promiscuity: calorimetric analysis of the active site conformational landscape of a detoxification enzyme.

Authors:  Matthew T Honaker; Mauro Acchione; John P Sumida; William M Atkins
Journal:  J Biol Chem       Date:  2011-10-14       Impact factor: 5.157

3.  Quantifying and predicting the promiscuity and isoform specificity of small-molecule cytochrome P450 inhibitors.

Authors:  Abhinav Nath; Michael A Zientek; Benjamin J Burke; Ying Jiang; William M Atkins
Journal:  Drug Metab Dispos       Date:  2010-09-14       Impact factor: 3.922

Review 4.  Substrate tunnels in enzymes: structure-function relationships and computational methodology.

Authors:  Laura J Kingsley; Markus A Lill
Journal:  Proteins       Date:  2015-02-28

5.  Principal component analysis of CYP2C9 and CYP3A4 probe substrate/inhibitor panels.

Authors:  Abhinav Nath; William Atkins
Journal:  Drug Metab Dispos       Date:  2008-06-19       Impact factor: 3.922

6.  Efficient searching and annotation of metabolic networks using chemical similarity.

Authors:  Dante A Pertusi; Andrew E Stine; Linda J Broadbelt; Keith E J Tyo
Journal:  Bioinformatics       Date:  2014-11-21       Impact factor: 6.937

7.  Modulating and evaluating receptor promiscuity through directed evolution and modeling.

Authors:  Sarah C Stainbrook; Jessica S Yu; Michael P Reddick; Neda Bagheri; Keith E J Tyo
Journal:  Protein Eng Des Sel       Date:  2017-06-01       Impact factor: 1.650

8.  Enzymatic detoxication, conformational selection, and the role of molten globule active sites.

Authors:  Matthew T Honaker; Mauro Acchione; Wei Zhang; Bengt Mannervik; William M Atkins
Journal:  J Biol Chem       Date:  2013-05-06       Impact factor: 5.157

9.  Catalytic versus inhibitory promiscuity in cytochrome P450s: implications for evolution of new function.

Authors:  Robert S Foti; Mathew Honaker; Abhinav Nath; Josh T Pearson; Brian Buttrick; Nina Isoherranen; William M Atkins
Journal:  Biochemistry       Date:  2011-03-11       Impact factor: 3.162

Review 10.  Redox Signaling by Reactive Electrophiles and Oxidants.

Authors:  Saba Parvez; Marcus J C Long; Jesse R Poganik; Yimon Aye
Journal:  Chem Rev       Date:  2018-08-27       Impact factor: 60.622

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