Literature DB >> 28078782

PACMANS: A bioinformatically informed algorithm to predict, design, and disrupt protease-on-protease hydrolysis.

Meghan C Ferrall-Fairbanks1, Zachary T Barry1, Maurizio Affer1, Marc A Shuler1, Ellen W Moomaw2, Manu O Platt1.   

Abstract

Multiple proteases in a system hydrolyze target substrates, but recent evidence indicates that some proteases will degrade other proteases as well. Cathepsin S hydrolysis of cathepsin K is one such example. These interactions may be uni- or bi-directional and change the expected kinetics. To explore potential protease-on-protease interactions in silico, a program was developed for users to input two proteases: (1) the protease-ase that hydrolyzes (2) the substrate, protease. This program identifies putative sites on the substrate protease highly susceptible to cleavage by the protease-ase, using a sliding-window approach that scores amino acid sequences by their preference in the protease-ase active site, culled from MEROPS database. We call this PACMANS, Protease-Ase Cleavage from MEROPS ANalyzed Specificities, and test and validate this algorithm with cathepsins S and K. PACMANS cumulative likelihood scoring identified L253 and V171 as sites on cathepsin K subject to cathepsin S hydrolysis. Mutations made at these locations were tested to block hydrolysis and validate PACMANS predictions. L253A and L253V cathepsin K mutants significantly reduced cathepsin S hydrolysis, validating PACMANS unbiased identification of these sites. Interfamilial protease interactions between cathepsin S and MMP-2 or MMP-9 were tested after predictions by PACMANS, confirming its utility for these systems as well. PACMANS is unique compared to other putative site cleavage programs by allowing users to define the proteases of interest and target, and can also be employed for non-protease substrate proteins, as well as short peptide sequences.
© 2017 The Protein Society.

Entities:  

Keywords:  MMPs; bioinformatics; cathepsins; hydrolysis; mutagenesis; prediction; proteases; proteolysis

Mesh:

Substances:

Year:  2017        PMID: 28078782      PMCID: PMC5368069          DOI: 10.1002/pro.3113

Source DB:  PubMed          Journal:  Protein Sci        ISSN: 0961-8368            Impact factor:   6.725


  42 in total

Review 1.  Biochemical properties and regulation of cathepsin K activity.

Authors:  Fabien Lecaille; Dieter Brömme; Gilles Lalmanach
Journal:  Biochimie       Date:  2007-09-02       Impact factor: 4.079

Review 2.  Proteolytic networks in cancer.

Authors:  Steven D Mason; Johanna A Joyce
Journal:  Trends Cell Biol       Date:  2011-01-12       Impact factor: 20.808

Review 3.  Cysteine cathepsins: multifunctional enzymes in cancer.

Authors:  Mona Mostafa Mohamed; Bonnie F Sloane
Journal:  Nat Rev Cancer       Date:  2006-10       Impact factor: 60.716

4.  Comparison of cathepsins K and S expression within the rheumatoid and osteoarthritic synovium.

Authors:  Wu-Shiun Hou; Weijie Li; Gernot Keyszer; Ekkehard Weber; Roger Levy; Michael J Klein; Ellen M Gravallese; Steven R Goldring; Dieter Brömme
Journal:  Arthritis Rheum       Date:  2002-03

5.  Pharmacological inhibition of cathepsin S decreases atherosclerotic lesions in Apoe-/- mice.

Authors:  Andriy O Samokhin; Paul Ambrose Lythgo; Jacques Yves Gauthier; M David Percival; Dieter Brömme
Journal:  J Cardiovasc Pharmacol       Date:  2010-07       Impact factor: 3.105

6.  The collagenolytic activity of cathepsin K is unique among mammalian proteinases.

Authors:  P Garnero; O Borel; I Byrjalsen; M Ferreras; F H Drake; M S McQueney; N T Foged; P D Delmas; J M Delaissé
Journal:  J Biol Chem       Date:  1998-11-27       Impact factor: 5.157

Review 7.  Cysteine cathepsins: cellular roadmap to different functions.

Authors:  Klaudia Brix; Anna Dunkhorst; Kristina Mayer; Silvia Jordans
Journal:  Biochimie       Date:  2007-08-06       Impact factor: 4.079

Review 8.  Cysteine cathepsins: from structure, function and regulation to new frontiers.

Authors:  Vito Turk; Veronika Stoka; Olga Vasiljeva; Miha Renko; Tao Sun; Boris Turk; Dušan Turk
Journal:  Biochim Biophys Acta       Date:  2011-10-12

9.  Monocyte-derived macrophage assisted breast cancer cell invasion as a personalized, predictive metric to score metastatic risk.

Authors:  Keon-Young Park; Gande Li; Manu O Platt
Journal:  Sci Rep       Date:  2015-09-09       Impact factor: 4.379

10.  Twenty years of the MEROPS database of proteolytic enzymes, their substrates and inhibitors.

Authors:  Neil D Rawlings; Alan J Barrett; Robert Finn
Journal:  Nucleic Acids Res       Date:  2015-11-02       Impact factor: 16.971

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  4 in total

1.  Computational predictions of cysteine cathepsin-mediated fibrinogen proteolysis.

Authors:  Meghan C Ferrall-Fairbanks; Dayne M West; Simone A Douglas; Rodney D Averett; Manu O Platt
Journal:  Protein Sci       Date:  2017-12-28       Impact factor: 6.725

2.  Reassessing enzyme kinetics: Considering protease-as-substrate interactions in proteolytic networks.

Authors:  Meghan C Ferrall-Fairbanks; Chris A Kieslich; Manu O Platt
Journal:  Proc Natl Acad Sci U S A       Date:  2020-01-24       Impact factor: 11.205

3.  LINC00173 promotes Wilms' tumor progression through MGAT1-mediated MUC3A N-glycosylation.

Authors:  Qingliang Zhu; Deming Zhan; Yongguo Yang; Yankun Chong; Haoliang Xue; Peng Zhu
Journal:  Cell Cycle       Date:  2022-06-14       Impact factor: 5.173

4.  Sequential, but not Concurrent, Incubation of Cathepsin K and L with Type I Collagen Results in Extended Proteolysis.

Authors:  Akia N Parks; Juhi Nahata; Naomi-Eliana Edouard; Johnna S Temenoff; Manu O Platt
Journal:  Sci Rep       Date:  2019-04-01       Impact factor: 4.379

  4 in total

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