Literature DB >> 9080183

Conserved features in the active site of nonhomologous serine proteases.

S C Bagley1, R B Altman.   

Abstract

BACKGROUND: Serine protease activity is critical for many biological processes and has arisen independently in a few different protein families. It is not clear, though, the degree to which these protease families share common biochemical and biophysical properties. We have used a computer program to study the properties that are shared by four serine protease active sites with no overall structural or sequence homology. The program systematically compares the region around the catalytic histidines from the four proteins with a set of noncatalytic histidines, used as controls. It reports the three-dimensional locations and level of statistical significance for those properties that distinguish the catalytic histidines from the noncatalytic ones. The method of analysis is general and can be applied easily to other active sites of interest.
RESULTS: As expected, some of the reported properties correspond to previously known features of the serine protease active site, including the catalytic triad and the oxyanion hole. Novel properties are also found, including the spatial distribution of charged, polar, and hydrophobic groups arranged to stabilize the catalytic residues, and a relative abundance of some residues (Val, Tyr, Leu, and Gly) around the active site.
CONCLUSIONS: Our findings show that in addition to some properties common to all the proteases examined, there are a set of preferred, but not required, properties that can be reliably observed only by aligning the sites and comparing them with carefully selected statistical controls.

Entities:  

Mesh:

Substances:

Year:  1996        PMID: 9080183     DOI: 10.1016/S1359-0278(96)00052-1

Source DB:  PubMed          Journal:  Fold Des        ISSN: 1359-0278


  10 in total

1.  WebFEATURE: An interactive web tool for identifying and visualizing functional sites on macromolecular structures.

Authors:  Mike P Liang; D Rey Banatao; Teri E Klein; Douglas L Brutlag; Russ B Altman
Journal:  Nucleic Acids Res       Date:  2003-07-01       Impact factor: 16.971

2.  Microenvironment analysis and identification of magnesium binding sites in RNA.

Authors:  D Rey Banatao; Russ B Altman; Teri E Klein
Journal:  Nucleic Acids Res       Date:  2003-08-01       Impact factor: 16.971

3.  Robust recognition of zinc binding sites in proteins.

Authors:  Jessica C Ebert; Russ B Altman
Journal:  Protein Sci       Date:  2007-11-27       Impact factor: 6.725

4.  Towards predicting Ca2+-binding sites with different coordination numbers in proteins with atomic resolution.

Authors:  Xue Wang; Michael Kirberger; Fasheng Qiu; Guantao Chen; Jenny J Yang
Journal:  Proteins       Date:  2009-06

5.  Defining and searching for structural motifs using DeepView/Swiss-PdbViewer.

Authors:  Maria U Johansson; Vincent Zoete; Olivier Michielin; Nicolas Guex
Journal:  BMC Bioinformatics       Date:  2012-07-23       Impact factor: 3.169

6.  Using multiple microenvironments to find similar ligand-binding sites: application to kinase inhibitor binding.

Authors:  Tianyun Liu; Russ B Altman
Journal:  PLoS Comput Biol       Date:  2011-12-29       Impact factor: 4.475

7.  Three-Dimensional Structure Characterization and Inhibition Study of Exfoliative Toxin D From Staphylococcus aureus.

Authors:  Anwar Ullah; Ajmal Khan; Ahmed Al-Harrasi; Kifayat Ullah; Asghar Shabbir
Journal:  Front Pharmacol       Date:  2022-02-18       Impact factor: 5.810

8.  The FEATURE framework for protein function annotation: modeling new functions, improving performance, and extending to novel applications.

Authors:  Inbal Halperin; Dariya S Glazer; Shirley Wu; Russ B Altman
Journal:  BMC Genomics       Date:  2008-09-16       Impact factor: 3.969

9.  Clustering protein environments for function prediction: finding PROSITE motifs in 3D.

Authors:  Sungroh Yoon; Jessica C Ebert; Eui-Young Chung; Giovanni De Micheli; Russ B Altman
Journal:  BMC Bioinformatics       Date:  2007-05-22       Impact factor: 3.169

10.  High precision protein functional site detection using 3D convolutional neural networks.

Authors:  Wen Torng; Russ B Altman
Journal:  Bioinformatics       Date:  2019-05-01       Impact factor: 6.937

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.