Literature DB >> 20704569

Structural and mechanistic insight into how antibodies inhibit serine proteases.

Rajkumar Ganesan1, Charles Eigenbrot, Daniel Kirchhofer.   

Abstract

Antibodies display great versatility in protein interactions and have become important therapeutic agents for a variety of human diseases. Their ability to discriminate between highly conserved sequences could be of great use for therapeutic approaches that target proteases, for which structural features are conserved among family members. Recent crystal structures of antibody-protease complexes provide exciting insight into the variety of ways antibodies can interfere with the catalytic machinery of serine proteases. The studies revealed the molecular details of two fundamental mechanisms by which antibodies inhibit catalysis of trypsin-like serine proteases, exemplified by hepatocyte growth factor activator and MT-SP1 (matriptase). Enzyme kinetics defines both mechanisms as competitive inhibition systems, yet, on the molecular level, they involve distinct structural elements of the active-site region. In the steric hindrance mechanism, the antibody binds to protruding surface loops and inserts one or two CDR (complementarity-determining region) loops into the enzyme's substrate-binding cleft, which results in obstruction of substrate access. In the allosteric inhibition mechanism the antibody binds outside the active site at the periphery of the substrate-binding cleft and, mediated through a conformational change of a surface loop, imposes structural changes at important substrate interaction sites resulting in impaired catalysis. At the centre of this allosteric mechanism is the 99-loop, which is sandwiched between the substrate and the antibody-binding sites and serves as a mobile conduit between these sites. These findings provide comprehensive structural and functional insight into the molecular versatility of antibodies for interfering with the catalytic machinery of proteases.

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Year:  2010        PMID: 20704569     DOI: 10.1042/BJ20100634

Source DB:  PubMed          Journal:  Biochem J        ISSN: 0264-6021            Impact factor:   3.857


  21 in total

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Journal:  Nat Rev Drug Discov       Date:  2012-06-29       Impact factor: 84.694

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Review 4.  Mechanisms of macromolecular protease inhibitors.

Authors:  Christopher J Farady; Charles S Craik
Journal:  Chembiochem       Date:  2010-11-22       Impact factor: 3.164

5.  Identification of protease inhibitors by a fast fluorimetric assay.

Authors:  Nunzianna Doti; Domenico Raimondo; Marco Sabatella; Menotti Ruvo
Journal:  Mol Biotechnol       Date:  2013-06       Impact factor: 2.695

6.  Alterations in immunodominance of Streptococcus mutans AgI/II: lessons learned from immunomodulatory antibodies.

Authors:  Rebekah A Robinette; Kyle P Heim; Monika W Oli; Paula J Crowley; William P McArthur; L Jeannine Brady
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7.  A monoclonal antibody (MCPR3-7) interfering with the activity of proteinase 3 by an allosteric mechanism.

Authors:  Lisa C Hinkofer; Susanne A I Seidel; Brice Korkmaz; Francisco Silva; Amber M Hummel; Dieter Braun; Dieter E Jenne; Ulrich Specks
Journal:  J Biol Chem       Date:  2013-07-31       Impact factor: 5.157

8.  Neutralizing monoclonal antibodies against ricin's enzymatic subunit interfere with protein disulfide isomerase-mediated reduction of ricin holotoxin in vitro.

Authors:  Joanne M O'Hara; Nicholas J Mantis
Journal:  J Immunol Methods       Date:  2013-06-15       Impact factor: 2.303

9.  Structural Basis for Activity and Specificity of an Anticoagulant Anti-FXIa Monoclonal Antibody and a Reversal Agent.

Authors:  Lauren K Ely; Marco Lolicato; Tovo David; Kate Lowe; Yun Cheol Kim; Dharmaraj Samuel; Paul Bessette; Jorge L Garcia; Thomas Mikita; Daniel L Minor; Shaun R Coughlin
Journal:  Structure       Date:  2018-01-11       Impact factor: 5.006

10.  Allosteric inhibition of the NS2B-NS3 protease from dengue virus.

Authors:  Muslum Yildiz; Sumana Ghosh; Jeffrey A Bell; Woody Sherman; Jeanne A Hardy
Journal:  ACS Chem Biol       Date:  2013-10-28       Impact factor: 5.100

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