Literature DB >> 24449516

An integrated computational and experimental approach to gaining selectivity for MMP-2 within the gelatinase subfamily.

Benjamin Fabre1, Kamila Filipiak, Natalia Díaz, José María Zapico, Dimas Suárez, Ana Ramos, Beatriz de Pascual-Teresa.   

Abstract

Looking for water-soluble inhibitors of matrix metalloproteinase-2 (MMP-2 or gelatinase A), we have previously reported compound 1, a potent MMP-2 inhibitor with a promising selectivity over the structurally homologous MMP-9 (gelatinase B). Here we report the results of Molecular Dynamics (MD) simulations for both gelatinases (MMP-2 and MMP-9), and for the corresponding MMP/1 complexes, in an attempt to shed light on the observed selectivity between the two enzymes. These studies indicated a higher plasticity of MMP-2 at the S1' pocket and suggested an induced-fit effect at the "back door" of this pocket. On the basis of these observations, we designed 11 a-d to aid further discrimination between MMP-2 and MMP-9. Those compounds displayed notably lower inhibitory activities against MMP-9; in particular, 11 b proved to be over 100 times more active against MMP-2 than against MMP-9. MD simulations of the MMP/11 b complexes and thermodynamic integration calculations provided structural insight and relative binding energies consistent with the experimentally observed activity data. These findings demonstrate that structural differences in the S1' pocket bottom permit an improvement in selectivity in the inhibition of MMP-2 over that of MMP-9; this is of great relevance for future structure-based drug design because MMP-2 is a validated target for cancer therapy, whereas MMP-9 plays both detrimental and protective roles in cancer. This study also supports the need to consider the dynamics of the S1' pocket in order to achieve selectivity in the inhibition of MMPs.
Copyright © 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  MMPs; click chemistry; gelatinases; molecular dynamics; selective inhibition; thermodynamic integration

Mesh:

Substances:

Year:  2014        PMID: 24449516     DOI: 10.1002/cbic.201300698

Source DB:  PubMed          Journal:  Chembiochem        ISSN: 1439-4227            Impact factor:   3.164


  6 in total

1.  Unraveling the distinctive features of hemorrhagic and non-hemorrhagic snake venom metalloproteinases using molecular simulations.

Authors:  Raoni Almeida de Souza; Natalia Díaz; Ronaldo Alves Pinto Nagem; Rafaela Salgado Ferreira; Dimas Suárez
Journal:  J Comput Aided Mol Des       Date:  2015-12-16       Impact factor: 3.686

Review 2.  Is there new hope for therapeutic matrix metalloproteinase inhibition?

Authors:  Roosmarijn E Vandenbroucke; Claude Libert
Journal:  Nat Rev Drug Discov       Date:  2014-11-07       Impact factor: 84.694

3.  Discovery of a highly selective chemical inhibitor of matrix metalloproteinase-9 (MMP-9) that allosterically inhibits zymogen activation.

Authors:  Robert H Scannevin; Richard Alexander; Tara Mezzasalma Haarlander; Sharon L Burke; Monica Singer; Cuifen Huo; Yue-Mei Zhang; Diane Maguire; John Spurlino; Ingrid Deckman; Karen I Carroll; Frank Lewandowski; Eric Devine; Keli Dzordzorme; Brett Tounge; Cindy Milligan; Shariff Bayoumy; Robyn Williams; Celine Schalk-Hihi; Kristi Leonard; Paul Jackson; Matthew Todd; Lawrence C Kuo; Kenneth J Rhodes
Journal:  J Biol Chem       Date:  2017-08-31       Impact factor: 5.157

4.  Expression and clinical significance of matrix metalloproteinase-17 and -25 in gastric cancer.

Authors:  Ying Wang; Shi-Jie Yu; Yan-Xia Li; He-Sheng Luo
Journal:  Oncol Lett       Date:  2014-12-01       Impact factor: 2.967

Review 5.  Molecular Imaging Probes Based on Matrix Metalloproteinase Inhibitors (MMPIs).

Authors:  Loganathan Rangasamy; Bruno Di Geronimo; Irene Ortín; Claire Coderch; José María Zapico; Ana Ramos; Beatriz de Pascual-Teresa
Journal:  Molecules       Date:  2019-08-16       Impact factor: 4.411

Review 6.  Emerging challenges in the design of selective substrates, inhibitors and activity-based probes for indistinguishable proteases.

Authors:  Paulina Kasperkiewicz; Marcin Poreba; Katarzyna Groborz; Marcin Drag
Journal:  FEBS J       Date:  2017-01-29       Impact factor: 5.542

  6 in total

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