Literature DB >> 16104021

Does secondary structure determine tertiary structure in proteins?

Haipeng Gong1, George D Rose.   

Abstract

Is highly approximate knowledge of a protein's backbone structure sufficient to successfully identify its family, superfamily, and tertiary fold? To explore this question, backbone dihedral angles were extracted from the known three-dimensional structure of 2,439 proteins and mapped into 36 labeled, 60 degrees x 60 degrees bins, called mesostates. Using this coarse-grained mapping, protein conformation can be approximated by a linear sequence of mesostates. These linear strings can then be aligned and assessed by conventional sequence-comparison methods. We report that the mesostate sequence is sufficient to recognize a protein's family, superfamily, and fold with good fidelity. Copyright 2005 Wiley-Liss, Inc.

Mesh:

Substances:

Year:  2005        PMID: 16104021     DOI: 10.1002/prot.20622

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  9 in total

Review 1.  Modeling loop entropy.

Authors:  Gregory S Chirikjian
Journal:  Methods Enzymol       Date:  2011       Impact factor: 1.600

2.  Secondary structure determines protein topology.

Authors:  Patrick J Fleming; Haipeng Gong; George D Rose
Journal:  Protein Sci       Date:  2006-07-05       Impact factor: 6.725

3.  Building native protein conformation from NMR backbone chemical shifts using Monte Carlo fragment assembly.

Authors:  Haipeng Gong; Yang Shen; George D Rose
Journal:  Protein Sci       Date:  2007-08       Impact factor: 6.725

4.  On the relation between the predicted secondary structure and the protein size.

Authors:  Lukasz Kurgan
Journal:  Protein J       Date:  2008-06       Impact factor: 2.371

5.  Application of data mining tools for classification of protein structural class from residue based averaged NMR chemical shifts.

Authors:  Arun V Kumar; Rehana F M Ali; Yu Cao; V V Krishnan
Journal:  Biochim Biophys Acta       Date:  2015-03-07

6.  Improving protein secondary structure prediction based on short subsequences with local structure similarity.

Authors:  Hsin-Nan Lin; Ting-Yi Sung; Shinn-Ying Ho; Wen-Lian Hsu
Journal:  BMC Genomics       Date:  2010-12-02       Impact factor: 3.969

7.  Representing and comparing protein structures as paths in three-dimensional space.

Authors:  Degui Zhi; S Sri Krishna; Haibo Cao; Pavel Pevzner; Adam Godzik
Journal:  BMC Bioinformatics       Date:  2006-10-20       Impact factor: 3.169

8.  Predicting peptide structures in native proteins from physical simulations of fragments.

Authors:  Vincent A Voelz; M Scott Shell; Ken A Dill
Journal:  PLoS Comput Biol       Date:  2009-02-06       Impact factor: 4.475

9.  Joint-based description of protein structure: its application to the geometric characterization of membrane proteins.

Authors:  Jayaraman Thangappan; Sangwook Wu; Sun-Gu Lee
Journal:  Sci Rep       Date:  2017-04-21       Impact factor: 4.379

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.