Literature DB >> 15044735

Trypsin specificity as elucidated by LIE calculations, X-ray structures, and association constant measurements.

Hanna-Kirsti Schrøder Leiros1, Bjørn Olav Brandsdal, Ole Andreas Andersen, Vibeke Os, Ingar Leiros, Ronny Helland, Jacek Otlewski, Nils Peder Willassen, Arne O Smalås.   

Abstract

The variation in inhibitor specificity for five different amine inhibitors bound to CST, BT, and the cold-adapted AST has been studied by use of association constant measurements, structural analysis of high-resolution crystal structures, and the LIE method. Experimental data show that AST binds the 1BZA and 2BEA inhibitors 0.8 and 0.5 kcal/mole more strongly than BT. However, structural interactions and orientations of the inhibitors within the S1 site have been found to be virtually identical in the three enzymes studied. For example, the four water molecules in the inhibitor-free structures of AST and BT are channeled into similar positions in the S1 site, and the nitrogen atom(s) of the inhibitors are found in two cationic binding sites denoted Position1 and Position2. The hydrophobic binding contributions for all five inhibitors, estimated by the LIE calculations, are also in the same order (-2.1 +/- 0.2 kcal/mole) for all three enzymes. Our hypothesis is therefore that the observed variation in inhibitor binding arises from different electrostatic interactions originating from residues outside the S1 site. This is well illustrated by AST, in which Asp 150 and Glu 221B, despite some distance from the S1 binding site, lower the electrostatic potential of the S1 site and thus enhance substrate binding. Because the trends in the experimentally determined binding energies were reproduced by the LIE calculations after adding the contribution from long-range interactions, we find this method very suitable for rational studies of protein-substrate interactions.

Entities:  

Mesh:

Substances:

Year:  2004        PMID: 15044735      PMCID: PMC2280040          DOI: 10.1110/ps.03498604

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


  40 in total

Review 1.  Cold adapted enzymes.

Authors:  A O Smalås; H K Leiros; V Os; N P Willassen
Journal:  Biotechnol Annu Rev       Date:  2000

2.  SHELXL: high-resolution refinement.

Authors:  G M Sheldrick; T R Schneider
Journal:  Methods Enzymol       Date:  1997       Impact factor: 1.600

Review 3.  Evolutionary divergence of substrate specificity within the chymotrypsin-like serine protease fold.

Authors:  J J Perona; C S Craik
Journal:  J Biol Chem       Date:  1997-11-28       Impact factor: 5.157

4.  An extensively modified version of MolScript that includes greatly enhanced coloring capabilities.

Authors:  R M Esnouf
Journal:  J Mol Graph Model       Date:  1997-04       Impact factor: 2.518

5.  A new method for predicting binding affinity in computer-aided drug design.

Authors:  J Aqvist; C Medina; J E Samuelsson
Journal:  Protein Eng       Date:  1994-03

6.  Cold adaption of enzymes: structural comparison between salmon and bovine trypsins.

Authors:  A O Smalås; E S Heimstad; A Hordvik; N P Willassen; R Male
Journal:  Proteins       Date:  1994-10

7.  Converting trypsin to chymotrypsin: residue 172 is a substrate specificity determinant.

Authors:  L Hedstrom; J J Perona; W J Rutter
Journal:  Biochemistry       Date:  1994-07-26       Impact factor: 3.162

8.  On the size of the active site in proteases. I. Papain.

Authors:  I Schechter; A Berger
Journal:  Biochem Biophys Res Commun       Date:  1967-04-20       Impact factor: 3.575

9.  Anionic trypsin from chum salmon: activity with p-amidinophenyl ester and comparison with bovine and Streptomyces griseus trypsins.

Authors:  H Sekizaki; K Itoh; M Murakami; E Toyota; K Tanizawa
Journal:  Comp Biochem Physiol B Biochem Mol Biol       Date:  2000-11       Impact factor: 2.231

10.  Crystal structure and nucleotide sequence of an anionic trypsin from chum salmon (Oncorhynchus keta) in comparison with Atlantic salmon (Salmo salar) and bovine trypsin.

Authors:  Eiko Toyota; Kenneth K S Ng; Shiro Kuninaga; Haruo Sekizaki; Kunihiko Itoh; Kazutaka Tanizawa; Michael N G James
Journal:  J Mol Biol       Date:  2002-11-29       Impact factor: 5.469

View more
  21 in total

1.  Probing the effect of point mutations at protein-protein interfaces with free energy calculations.

Authors:  Martin Almlöf; Johan Aqvist; Arne O Smalås; Bjørn O Brandsdal
Journal:  Biophys J       Date:  2005-11-04       Impact factor: 4.033

2.  Virtual screening using molecular simulations.

Authors:  Tianyi Yang; Johnny C Wu; Chunli Yan; Yuanfeng Wang; Ray Luo; Michael B Gonzales; Kevin N Dalby; Pengyu Ren
Journal:  Proteins       Date:  2011-04-12

3.  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

4.  Conformational sampling and structure prediction of multiple interacting loops in soluble and β-barrel membrane proteins using multi-loop distance-guided chain-growth Monte Carlo method.

Authors:  Ke Tang; Samuel W K Wong; Jun S Liu; Jinfeng Zhang; Jie Liang
Journal:  Bioinformatics       Date:  2015-04-09       Impact factor: 6.937

5.  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

6.  Design of a high fragment efficiency library by molecular graph theory.

Authors:  Jennifer Venhorst; Sara Núñez; Chris G Kruse
Journal:  ACS Med Chem Lett       Date:  2010-09-03       Impact factor: 4.345

Review 7.  Fish trypsins: potential applications in biomedicine and prospects for production.

Authors:  Kristal Jesús-de la Cruz; Carlos Alfonso Álvarez-González; Emyr Peña; José Antonio Morales-Contreras; Ángela Ávila-Fernández
Journal:  3 Biotech       Date:  2018-03-16       Impact factor: 2.406

8.  Agroinfiltration contributes to VP1 recombinant protein degradation.

Authors:  Priyen Pillay; Karl J Kunert; Stefan van Wyk; Matome Eugene Makgopa; Christopher A Cullis; Barend J Vorster
Journal:  Bioengineered       Date:  2016-07-26       Impact factor: 3.269

Review 9.  Smart micro/nanoparticles in stimulus-responsive drug/gene delivery systems.

Authors:  Mahdi Karimi; Amir Ghasemi; Parham Sahandi Zangabad; Reza Rahighi; S Masoud Moosavi Basri; H Mirshekari; M Amiri; Z Shafaei Pishabad; A Aslani; M Bozorgomid; D Ghosh; A Beyzavi; A Vaseghi; A R Aref; L Haghani; S Bahrami; Michael R Hamblin
Journal:  Chem Soc Rev       Date:  2016-03-07       Impact factor: 54.564

10.  Trypsin-ligand binding free energies from explicit and implicit solvent simulations with polarizable potential.

Authors:  Dian Jiao; Jiajing Zhang; Robert E Duke; Guohui Li; Michael J Schnieders; Pengyu Ren
Journal:  J Comput Chem       Date:  2009-08       Impact factor: 3.376

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.