Literature DB >> 15923233

Specificity of trypsin and chymotrypsin: loop-motion-controlled dynamic correlation as a determinant.

Wenzhe Ma1, Chao Tang, Luhua Lai.   

Abstract

Trypsin and chymotrypsin are both serine proteases with high sequence and structural similarities, but with different substrate specificity. Previous experiments have demonstrated the critical role of the two loops outside the binding pocket in controlling the specificity of the two enzymes. To understand the mechanism of such a control of specificity by distant loops, we have used the Gaussian network model to study the dynamic properties of trypsin and chymotrypsin and the roles played by the two loops. A clustering method was introduced to analyze the correlated motions of residues. We have found that trypsin and chymotrypsin have distinct dynamic signatures in the two loop regions, which are in turn highly correlated with motions of certain residues in the binding pockets. Interestingly, replacing the two loops of trypsin with those of chymotrypsin changes the motion style of trypsin to chymotrypsin-like, whereas the same experimental replacement was shown necessary to make trypsin have chymotrypsin's enzyme specificity and activity. These results suggest that the cooperative motions of the two loops and the substrate-binding sites contribute to the activity and substrate specificity of trypsin and chymotrypsin.

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Year:  2005        PMID: 15923233      PMCID: PMC1366603          DOI: 10.1529/biophysj.104.057158

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  59 in total

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4.  Collective motions in HIV-1 reverse transcriptase: examination of flexibility and enzyme function.

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Journal:  J Mol Biol       Date:  1999-01-22       Impact factor: 5.469

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Journal:  J Mol Biol       Date:  1997-02-14       Impact factor: 5.469

6.  The role of disulfide bond C191-C220 in trypsin and chymotrypsin.

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Journal:  Biochemistry       Date:  1976-05-18       Impact factor: 3.162

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Journal:  Acta Biochim Biophys Acad Sci Hung       Date:  1976

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Journal:  J Mol Biol       Date:  1985-08-20       Impact factor: 5.469

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Authors:  L Gráf; A Jancsó; L Szilágyi; G Hegyi; K Pintér; G Náray-Szabó; J Hepp; K Medzihradszky; W J Rutter
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  30 in total

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Authors:  Emilie R Mainz; Nicholas C Dobes; Nancy L Allbritton
Journal:  Anal Chem       Date:  2015-07-24       Impact factor: 6.986

4.  Evolutionary and structural analyses uncover a role for solvent interactions in the diversification of cocoonases in butterflies.

Authors:  G Smith; J E Kelly; A Macias-Muñoz; C T Butts; R W Martin; A D Briscoe
Journal:  Proc Biol Sci       Date:  2018-01-10       Impact factor: 5.349

5.  gRINN: a tool for calculation of residue interaction energies and protein energy network analysis of molecular dynamics simulations.

Authors:  Onur Serçinoglu; Pemra Ozbek
Journal:  Nucleic Acids Res       Date:  2018-07-02       Impact factor: 16.971

6.  Analysis of binding properties and specificity through identification of the interface forming residues (IFR) for serine proteases in silico docked to different inhibitors.

Authors:  Cristina Ribeiro; Roberto C Togawa; Izabella A P Neshich; Ivan Mazoni; Adauto L Mancini; Raquel C de Melo Minardi; Carlos H da Silveira; José G Jardine; Marcelo M Santoro; Goran Neshich
Journal:  BMC Struct Biol       Date:  2010-10-20

7.  The flexibility of a distant loop modulates active site motion and product release in ribonuclease A.

Authors:  Nicolas Doucet; Eric D Watt; J Patrick Loria
Journal:  Biochemistry       Date:  2009-08-04       Impact factor: 3.162

8.  Rapid Highly-Efficient Digestion and Peptide Mapping of Adeno-Associated Viruses.

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Journal:  Anal Chem       Date:  2021-07-22       Impact factor: 6.986

9.  Characterization of cDNAs encoding serine proteases and their transcriptional responses to Cry1Ab protoxin in the gut of Ostrinia nubilalis larvae.

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10.  Cleavage entropy as quantitative measure of protease specificity.

Authors:  Julian E Fuchs; Susanne von Grafenstein; Roland G Huber; Michael A Margreiter; Gudrun M Spitzer; Hannes G Wallnoefer; Klaus R Liedl
Journal:  PLoS Comput Biol       Date:  2013-04-18       Impact factor: 4.475

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