Literature DB >> 16565147

A simple approach for protein structure discrimination based on the network pattern of conserved hydrophobic residues.

Usha K Muppirala1, Zhijun Li.   

Abstract

Evolutionarily conserved hydrophobic residues at the core of protein structures are generally assumed to play a structural role in protein folding and stability. Recent studies have implicated that their importance to protein structures is uneven, with a few of them being crucial and the rest of them being secondary. In this work, we explored the possibility of employing this feature of native structures for discriminating non-native structures from native ones. First, we developed a network tool to quantitatively measure the structural contributions of individual amino acid residues. We systematically applied this method to diverse fold-type sets of native proteins. It was confirmed that this method could grasp the essential structural features of native proteins. Next, we applied it to a number of decoy sets of proteins. The results indicate that such an approach indeed identified non-native structures in most test cases. This finding should be of help for the investigation of the fundamental problem of protein structure prediction.

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Year:  2006        PMID: 16565147     DOI: 10.1093/protein/gzl009

Source DB:  PubMed          Journal:  Protein Eng Des Sel        ISSN: 1741-0126            Impact factor:   1.650


  8 in total

1.  Conserved network properties of helical membrane protein structures and its implication for improving membrane protein homology modeling at the twilight zone.

Authors:  Jun Gao; Zhijun Li
Journal:  J Comput Aided Mol Des       Date:  2008-05-28       Impact factor: 3.686

2.  Developing a high-quality scoring function for membrane protein structures based on specific inter-residue interactions.

Authors:  Andrew J Heim; Zhijun Li
Journal:  J Comput Aided Mol Des       Date:  2012-03-01       Impact factor: 3.686

3.  Quality assessment of protein model-structures using evolutionary conservation.

Authors:  Matan Kalman; Nir Ben-Tal
Journal:  Bioinformatics       Date:  2010-04-12       Impact factor: 6.937

4.  A topological description of hubs in amino Acid interaction networks.

Authors:  Omar Gaci
Journal:  Adv Bioinformatics       Date:  2010-05-26

5.  Assortative mixing in close-packed spatial networks.

Authors:  Deniz Turgut; Ali Rana Atilgan; Canan Atilgan
Journal:  PLoS One       Date:  2010-12-16       Impact factor: 3.240

Review 6.  Small world network strategies for studying protein structures and binding.

Authors:  Neil R Taylor
Journal:  Comput Struct Biotechnol J       Date:  2013-03-01       Impact factor: 7.271

7.  BeEP Server: Using evolutionary information for quality assessment of protein structure models.

Authors:  Nicolas Palopoli; Esteban Lanzarotti; Gustavo Parisi
Journal:  Nucleic Acids Res       Date:  2013-05-31       Impact factor: 16.971

8.  A modified amino acid network model contains similar and dissimilar weight.

Authors:  Xiong Jiao; Lifeng Yang; Meiwen An; Weiyi Chen
Journal:  Comput Math Methods Med       Date:  2013-01-02       Impact factor: 2.238

  8 in total

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