Literature DB >> 10779411

Structural basis for selectivity of a small molecule, S1-binding, submicromolar inhibitor of urokinase-type plasminogen activator.

B A Katz1, R Mackman, C Luong, K Radika, A Martelli, P A Sprengeler, J Wang, H Chan, L Wong.   

Abstract

BACKGROUND: Urokinase-type plasminogen activator (uPA) is a protease associated with tumor metastasis and invasion. Inhibitors of uPA may have potential as drugs for prostate, breast and other cancers. Therapeutically useful inhibitors must be selective for uPA and not appreciably inhibit the related, and structurally and functionally similar enzyme, tissue-type plasminogen activator (tPA), involved in the vital blood-clotting cascade.
RESULTS: We produced mutagenically deglycosylated low molecular weight uPA and determined the crystal structure of its complex with 4-iodobenzo[b]thiophene 2-carboxamidine (K(i) = 0.21 +/- 0.02 microM). To probe the structural determinants of the affinity and selectivity of this inhibitor for uPA we also determined the structures of its trypsin and thrombin complexes, of apo-trypsin, apo-thrombin and apo-factor Xa, and of uPA, trypsin and thrombin bound by compounds that are less effective uPA inhibitors, benzo[b]thiophene-2-carboxamidine, thieno[2,3-b]-pyridine-2-carboxamidine and benzamidine. The K(i) values of each inhibitor toward uPA, tPA, trypsin, tryptase, thrombin and factor Xa were determined and compared. One selectivity determinant of the benzo[b]thiophene-2-carboxamidines for uPA involves a hydrogen bond at the S1 site to Ogamma(Ser190) that is absent in the Ala190 proteases, tPA, thrombin and factor Xa. Other subtle differences in the architecture of the S1 site also influence inhibitor affinity and enzyme-bound structure.
CONCLUSIONS: Subtle structural differences in the S1 site of uPA compared with that of related proteases, which result in part from the presence of a serine residue at position 190, account for the selectivity of small thiophene-2-carboxamidines for uPA, and afford a framework for structure-based design of small, potent, selective uPA inhibitors.

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Year:  2000        PMID: 10779411     DOI: 10.1016/s1074-5521(00)00104-6

Source DB:  PubMed          Journal:  Chem Biol        ISSN: 1074-5521


  22 in total

1.  Incomplete protein packing as a selectivity filter in drug design.

Authors:  Ariel Fernández
Journal:  Structure       Date:  2005-12       Impact factor: 5.006

2.  Packing defects as selectivity switches for drug-based protein inhibitors.

Authors:  Ariel Fernández; Ridgway Scott; R Stephen Berry
Journal:  Proc Natl Acad Sci U S A       Date:  2005-12-30       Impact factor: 11.205

3.  Thrombin-thrombomodulin inhibits prourokinase-mediated pleural mesothelial cell-dependent fibrinolysis.

Authors:  A V Iakhiaev; A Nalian; K Koenig; S Idell
Journal:  Thromb Res       Date:  2007-02-02       Impact factor: 3.944

4.  Calculation of protein-ligand binding free energy by using a polarizable potential.

Authors:  Dian Jiao; Pavel A Golubkov; Thomas A Darden; Pengyu Ren
Journal:  Proc Natl Acad Sci U S A       Date:  2008-04-21       Impact factor: 11.205

5.  2-Amidino analogs of glycine-amiloride conjugates: inhibitors of urokinase-type plasminogen activator.

Authors:  Archna P Massey; William R Harley; NagaRekha Pasupuleti; Fredric A Gorin; Michael H Nantz
Journal:  Bioorg Med Chem Lett       Date:  2012-01-04       Impact factor: 2.823

6.  Prediction of trypsin/molecular fragment binding affinities by free energy decomposition and empirical scores.

Authors:  Mark L Benson; John C Faver; Melek N Ucisik; Danial S Dashti; Zheng Zheng; Kenneth M Merz
Journal:  J Comput Aided Mol Des       Date:  2012-04-04       Impact factor: 3.686

7.  Exploration of conformational transition in the aryl-binding site of human FXa using molecular dynamics simulations.

Authors:  Jing-Fang Wang; Pei Hao; Yi-Xue Li; Jian-Liang Dai; Xuan Li
Journal:  J Mol Model       Date:  2011-11-25       Impact factor: 1.810

8.  Assessing the similarity of ligand binding conformations with the Contact Mode Score.

Authors:  Yun Ding; Ye Fang; Juana Moreno; J Ramanujam; Mark Jarrell; Michal Brylinski
Journal:  Comput Biol Chem       Date:  2016-09-06       Impact factor: 2.877

9.  Molecular dynamics simulations of Factor Xa: insight into conformational transition of its binding subsites.

Authors:  Narender Singh; James M Briggs
Journal:  Biopolymers       Date:  2008-12       Impact factor: 2.505

10.  High-performance drug discovery: computational screening by combining docking and molecular dynamics simulations.

Authors:  Noriaki Okimoto; Noriyuki Futatsugi; Hideyoshi Fuji; Atsushi Suenaga; Gentaro Morimoto; Ryoko Yanai; Yousuke Ohno; Tetsu Narumi; Makoto Taiji
Journal:  PLoS Comput Biol       Date:  2009-10-09       Impact factor: 4.475

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