Literature DB >> 33617527

Quantitative profiling of protease specificity.

Boris I Ratnikov1, Piotr Cieplak1, Albert G Remacle1, Elise Nguyen1, Jeffrey W Smith1.   

Abstract

Proteases are an important class of enzymes, whose activity is central to many physiologic and pathologic processes. Detailed knowledge of protease specificity is key to understanding their function. Although many methods have been developed to profile specificities of proteases, few have the diversity and quantitative grasp necessary to fully define specificity of a protease, both in terms of substrate numbers and their catalytic efficiencies. We have developed a concept of "selectome"; the set of substrate amino acid sequences that uniquely represent the specificity of a protease. We applied it to two closely related members of the Matrixin family-MMP-2 and MMP-9 by using substrate phage display coupled with Next Generation Sequencing and information theory-based data analysis. We have also derived a quantitative measure of substrate specificity, which accounts for both the number of substrates and their relative catalytic efficiencies. Using these advances greatly facilitates elucidation of substrate selectivity between closely related members of a protease family. The study also provides insight into the degree to which the catalytic cleft defines substrate recognition, thus providing basis for overcoming two of the major challenges in the field of proteolysis: 1) development of highly selective activity probes for studying proteases with overlapping specificities, and 2) distinguishing targeted proteolysis from bystander proteolytic events.

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Year:  2021        PMID: 33617527      PMCID: PMC7932537          DOI: 10.1371/journal.pcbi.1008101

Source DB:  PubMed          Journal:  PLoS Comput Biol        ISSN: 1553-734X            Impact factor:   4.475


  47 in total

Review 1.  Crystal structures of MMPs in complex with physiological and pharmacological inhibitors.

Authors:  Klaus Maskos
Journal:  Biochimie       Date:  2005 Mar-Apr       Impact factor: 4.079

Review 2.  Protease Specificity: Towards In Vivo Imaging Applications and Biomarker Discovery.

Authors:  Matej Vizovišek; Robert Vidmar; Marcin Drag; Marko Fonović; Guy S Salvesen; Boris Turk
Journal:  Trends Biochem Sci       Date:  2018-08-07       Impact factor: 13.807

3.  Functional interplay between caspase cleavage and phosphorylation sculpts the apoptotic proteome.

Authors:  Melissa M Dix; Gabriel M Simon; Chu Wang; Eric Okerberg; Matthew P Patricelli; Benjamin F Cravatt
Journal:  Cell       Date:  2012-07-20       Impact factor: 41.582

Review 4.  Global substrate specificity profiling of post-translational modifying enzymes.

Authors:  Sam L Ivry; Nicole O Meyer; Michael B Winter; Markus F Bohn; Giselle M Knudsen; Anthony J O'Donoghue; Charles S Craik
Journal:  Protein Sci       Date:  2017-12-08       Impact factor: 6.725

Review 5.  Emerging principles in protease-based drug discovery.

Authors:  Marcin Drag; Guy S Salvesen
Journal:  Nat Rev Drug Discov       Date:  2010-09       Impact factor: 84.694

Review 6.  Synthetic and biological approaches to map substrate specificities of proteases.

Authors:  Shiyu Chen; Joshua J Yim; Matthew Bogyo
Journal:  Biol Chem       Date:  2019-12-18       Impact factor: 3.915

7.  A residue in the S2 subsite controls substrate selectivity of matrix metalloproteinase-2 and matrix metalloproteinase-9.

Authors:  Emily I Chen; Weizhong Li; Adam Godzik; Eric W Howard; Jeffrey W Smith
Journal:  J Biol Chem       Date:  2003-02-18       Impact factor: 5.157

8.  Novel MMP-9 substrates in cancer cells revealed by a label-free quantitative proteomics approach.

Authors:  Danmei Xu; Naoko Suenaga; Mariola J Edelmann; Rafael Fridman; Ruth J Muschel; Benedikt M Kessler
Journal:  Mol Cell Proteomics       Date:  2008-07-02       Impact factor: 5.911

9.  Exploring protein native states and large-scale conformational changes with a modified generalized born model.

Authors:  Alexey Onufriev; Donald Bashford; David A Case
Journal:  Proteins       Date:  2004-05-01

10.  Massively parallel enzyme kinetics reveals the substrate recognition landscape of the metalloprotease ADAMTS13.

Authors:  Colin A Kretz; Manhong Dai; Onuralp Soylemez; Andrew Yee; Karl C Desch; David Siemieniak; Kärt Tomberg; Fyodor A Kondrashov; Fan Meng; David Ginsburg
Journal:  Proc Natl Acad Sci U S A       Date:  2015-07-13       Impact factor: 11.205

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