Literature DB >> 19226167

QuatIdent: a web server for identifying protein quaternary structural attribute by fusing functional domain and sequential evolution information.

Hong-Bin Shen1, Kuo-Chen Chou.   

Abstract

Many proteins exist in vivo as oligomers with various different quaternary structural attributes rather than as single individual chains. They are the structural bases of various marvelous biological functions such as cooperative effects, allosteric mechanism, and ion-channel gating. Therefore, with the avalanche of protein sequences generated in the postgenomic era, it is very important for both basic research and drug discovery to identify their quaternary structural attributes in a timely manner. In view of this, a powerful ensemble identifier, called QuatIdent, is developed by fusing the functional domain and sequential evolution information. QuatIdent is a 2-layer predictor. The 1st layer is for identifying a query protein as belonging to which one of the following 10 main quaternary structural attributes: (1) monomer, (2) dimer, (3) trimer, (4) tetramer, (5) pentamer, (6) hexamer, (7) heptamer, (8) octamer, (9) decamer, and (10) dodecamer. If the result thus obtained turns out to be anything but monomer, the process will be automatically continued to further identify it as belonging to a homo-oligomer or hetero-oligomer. The overall success rate by QuatIdent for the 1st layer identification was 71.1% and that for the 2nd layer ranged from 84 to 96%. These rates were derived by the jackknife cross-validation tests on the stringent benchmark data sets where none of proteins has > or =60% pairwise sequence identity to any other in a same subset. QuatIdent is freely accessible to the public as a web server via the site at http://www.csbio.sjtu.edu.cn/bioinf/Quaternary/ , by which one can get the desired 2-level results for a query protein sequence in around 25 seconds. The longer the sequence is, the more time that is needed.

Mesh:

Year:  2009        PMID: 19226167     DOI: 10.1021/pr800957q

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  20 in total

1.  Applications of NMR-based PRE and EPR-based DEER spectroscopy to homodimer chain exchange characterization and structure determination.

Authors:  Yunhuang Yang; Theresa A Ramelot; Shuisong Ni; Robert M McCarrick; Michael A Kennedy
Journal:  Methods Mol Biol       Date:  2014

2.  Determinants of gas-phase disassembly behavior in homodimeric protein complexes with related yet divergent structures.

Authors:  Eric D Dodds; Anne E Blackwell; Christopher M Jones; Katie L Holso; Dawne J O'Brien; Matthew H J Cordes; Vicki H Wysocki
Journal:  Anal Chem       Date:  2011-04-27       Impact factor: 6.986

3.  193 nm Ultraviolet Photodissociation Mass Spectrometry of Tetrameric Protein Complexes Provides Insight into Quaternary and Secondary Protein Topology.

Authors:  Lindsay J Morrison; Jennifer S Brodbelt
Journal:  J Am Chem Soc       Date:  2016-08-17       Impact factor: 15.419

4.  Revealing the quaternary structure of a heterogeneous noncovalent protein complex through surface-induced dissociation.

Authors:  Anne E Blackwell; Eric D Dodds; Vahe Bandarian; Vicki H Wysocki
Journal:  Anal Chem       Date:  2011-03-21       Impact factor: 6.986

5.  Impact of charge state on 193 nm ultraviolet photodissociation of protein complexes.

Authors:  Sarah N Sipe; Jennifer S Brodbelt
Journal:  Phys Chem Chem Phys       Date:  2019-05-08       Impact factor: 3.676

6.  Measurement of rate constants for homodimer subunit exchange using double electron-electron resonance and paramagnetic relaxation enhancements.

Authors:  Yunhuang Yang; Theresa A Ramelot; Shuisong Ni; Robert M McCarrick; Michael A Kennedy
Journal:  J Biomol NMR       Date:  2012-11-20       Impact factor: 2.835

7.  Ion Mobility-Mass Spectrometry Analysis of Cross-Linked Intact Multiprotein Complexes: Enhanced Gas-Phase Stabilities and Altered Dissociation Pathways.

Authors:  Billy M Samulak; Shuai Niu; Philip C Andrews; Brandon T Ruotolo
Journal:  Anal Chem       Date:  2016-05-02       Impact factor: 6.986

8.  Predicting the network of substrate-enzyme-product triads by combining compound similarity and functional domain composition.

Authors:  Lei Chen; Kai-Yan Feng; Yu-Dong Cai; Kuo-Chen Chou; Hai-Peng Li
Journal:  BMC Bioinformatics       Date:  2010-05-31       Impact factor: 3.169

9.  Prediction of bioluminescent proteins using auto covariance transformation of evolutional profiles.

Authors:  Xiaowei Zhao; Jiakui Li; Yanxin Huang; Zhiqiang Ma; Minghao Yin
Journal:  Int J Mol Sci       Date:  2012-03-19       Impact factor: 6.208

10.  Predicting secretory proteins of malaria parasite by incorporating sequence evolution information into pseudo amino acid composition via grey system model.

Authors:  Wei-Zhong Lin; Jian-An Fang; Xuan Xiao; Kuo-Chen Chou
Journal:  PLoS One       Date:  2012-11-26       Impact factor: 3.240

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