Literature DB >> 18844670

Binding of matrix metalloproteinase inhibitors to extracellular matrix: 3D-QSAR analysis.

Yufen Zhang1, Viera Lukacova, Vladimir Bartus, Xiaoping Nie, Guorong Sun, Ethirajan Manivannan, Sandeep R Ghorpade, Xiaomin Jin, Shankar Manyem, Mukund P Sibi, Gregory R Cook, Stefan Balaz.   

Abstract

Binding to the extracellular matrix, one of the most abundant human protein complexes, significantly affects drug disposition. Specifically, the interactions with extracellular matrix determine the free concentrations of small molecules acting in tissues, including signaling peptides, inhibitors of tissue remodeling enzymes such as matrix metalloproteinases, and other drug candidates. The nature of extracellular matrix binding was elucidated for 63 matrix metalloproteinase inhibitors, for which the association constants to an extracellular matrix mimic were reported here. The data did not correlate with lipophilicity as a common determinant of structure-nonspecific, orientation-averaged binding. A hypothetical structure of the binding site of the solidified extracellular matrix surrogate was analyzed using the Comparative Molecular Field Analysis, which needed to be applied in our multi-mode variant. This fact indicates that the compounds bind to extracellular matrix in multiple modes, which cannot be considered as completely orientation-averaged and exhibit structural dependence. The novel comparative molecular field analysis models, exhibiting satisfactory descriptive and predictive abilities, are suitable for prediction of the extracellular matrix binding for the untested chemicals, which are within applicability domains. The results contribute to a better prediction of the pharmacokinetic parameters such as the distribution volume and the tissue-blood partition coefficients, in addition to a more imminent benefit for the development of more effective matrix metalloproteinase inhibitors.

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Year:  2008        PMID: 18844670      PMCID: PMC2896061          DOI: 10.1111/j.1747-0285.2008.00710.x

Source DB:  PubMed          Journal:  Chem Biol Drug Des        ISSN: 1747-0277            Impact factor:   2.817


  19 in total

1.  Cheminformatic models to predict binding affinities to human serum albumin.

Authors:  G Colmenarejo; A Alvarez-Pedraglio; J L Lavandera
Journal:  J Med Chem       Date:  2001-12-06       Impact factor: 7.446

2.  Multimode ligand binding in receptor site modeling: implementation in CoMFA.

Authors:  Viera Lukacova; Stefan Balaz
Journal:  J Chem Inf Comput Sci       Date:  2003 Nov-Dec

3.  Synthesis and evaluation of novel oxazoline MMP inhibitors.

Authors:  Gregory R Cook; Ethirajan Manivannan; Thane Underdahl; Viera Lukacova; Yufen Zhang; Stefan Balaz
Journal:  Bioorg Med Chem Lett       Date:  2004-10-04       Impact factor: 2.823

4.  Structural determinants of binding of aromates to extracellular matrix: a multi-species multi-mode CoMFA study.

Authors:  Yufen Zhang; Viera Lukacova; Vladimir Bartus; Stefan Balaz
Journal:  Chem Res Toxicol       Date:  2007-01       Impact factor: 3.739

5.  Quantitative characterization of binding of small molecules to extracellular matrix.

Authors:  Yufen Zhang; Viera Lukacova; Katie Reindl; Stefan Balaz
Journal:  J Biochem Biophys Methods       Date:  2006-02-17

Review 6.  Tumour microenvironment - opinion: validating matrix metalloproteinases as drug targets and anti-targets for cancer therapy.

Authors:  Christopher M Overall; Oded Kleifeld
Journal:  Nat Rev Cancer       Date:  2006-03       Impact factor: 60.716

7.  A quantitative structure-activity relationship approach to the minimization of albumin binding.

Authors:  A Hersey; R M Hyde; D J Livingstone; E Rahr
Journal:  J Pharm Sci       Date:  1991-04       Impact factor: 3.534

8.  FLEXS: a method for fast flexible ligand superposition.

Authors:  C Lemmen; T Lengauer; G Klebe
Journal:  J Med Chem       Date:  1998-11-05       Impact factor: 7.446

9.  Calculation of relative binding free energies and configurational entropies: a structural and thermodynamic analysis of the nature of non-polar binding of thrombin inhibitors based on hirudin55-65.

Authors:  J Wang; Z Szewczuk; S Y Yue; Y Tsuda; Y Konishi; E O Purisima
Journal:  J Mol Biol       Date:  1995-10-27       Impact factor: 5.469

10.  Design, synthesis, and characterization of potent, slow-binding inhibitors that are selective for gelatinases.

Authors:  M Margarida Bernardo; Stephen Brown; Zhi-Hong Li; Rafael Fridman; Shahriar Mobashery
Journal:  J Biol Chem       Date:  2002-01-14       Impact factor: 5.157

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  5 in total

1.  QM/MM Studies of the Matrix Metalloproteinase 2 (MMP2) Inhibition Mechanism of (S)-SB-3CT and its Oxirane Analogue.

Authors:  Jia Zhou; Peng Tao; Jed F Fisher; Qicun Shi; Shahriar Mobashery; H Bernhard Schlegel
Journal:  J Chem Theory Comput       Date:  2010-11-09       Impact factor: 6.006

Review 2.  Pharmacokinetic de-risking tools for selection of monoclonal antibody lead candidates.

Authors:  Miroslav Dostalek; Thomayant Prueksaritanont; Robert F Kelley
Journal:  MAbs       Date:  2017-05-02       Impact factor: 5.857

3.  Decellularized skeletal muscle as an in vitro model for studying drug-extracellular matrix interactions.

Authors:  Jean W Wassenaar; Gerry R Boss; Karen L Christman
Journal:  Biomaterials       Date:  2015-06-20       Impact factor: 12.479

4.  Matrix metalloproteinase 2 inhibition: combined quantum mechanics and molecular mechanics studies of the inhibition mechanism of (4-phenoxyphenylsulfonyl)methylthiirane and its oxirane analogue.

Authors:  Peng Tao; Jed F Fisher; Qicun Shi; Thom Vreven; Shahriar Mobashery; H Bernhard Schlegel
Journal:  Biochemistry       Date:  2009-10-20       Impact factor: 3.162

5.  Matrix metalloproteinase 2 (MMP2) inhibition: DFT and QM/MM studies of the deprotonation-initialized ring-opening reaction of the sulfoxide analogue of SB-3CT.

Authors:  Peng Tao; Jed F Fisher; Qicun Shi; Shahriar Mobashery; H Bernhard Schlegel
Journal:  J Phys Chem B       Date:  2010-01-21       Impact factor: 2.991

  5 in total

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