Literature DB >> 15722374

Recoverable one-dimensional encoding of three-dimensional protein structures.

Akira R Kinjo1, Ken Nishikawa.   

Abstract

One-dimensional (1D) structures of proteins such as secondary structure and contact number provide intuitive pictures to understand how the native three-dimensional (3D) structure of a protein is encoded in the amino acid sequence. However, it is still not clear whether a given set of 1D structures contains sufficient information for recovering the underlying 3D structure. Here we show that the 3D structure of a protein can be recovered from a set of three types of 1D structures, namely, secondary structure, contact number and residue-wise contact order which is introduced here for the first time. Using simulated annealing molecular dynamics simulations, the structures satisfying the given native 1D structural restraints were sought for 16 proteins of various structural classes and of sizes ranging from 56 to 146 residues. By selecting the structures best satisfying the restraints, all the proteins showed a coordinate RMS deviation of <4 A from the native structure, and, for most of them, the deviation was even <2 A. The present result opens a new possibility to protein structure prediction and our understanding of the sequence-structure relationship.

Mesh:

Substances:

Year:  2005        PMID: 15722374     DOI: 10.1093/bioinformatics/bti330

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  12 in total

1.  The effect of long-range interactions on the secondary structure formation of proteins.

Authors:  Daisuke Kihara
Journal:  Protein Sci       Date:  2005-06-29       Impact factor: 6.725

2.  Rapid detection of similarity in protein structure and function through contact metric distances.

Authors:  Andreas Martin Lisewski; Olivier Lichtarge
Journal:  Nucleic Acids Res       Date:  2006-11-27       Impact factor: 16.971

3.  A two-stage approach for improved prediction of residue contact maps.

Authors:  Alessandro Vullo; Ian Walsh; Gianluca Pollastri
Journal:  BMC Bioinformatics       Date:  2006-03-30       Impact factor: 3.169

4.  CRNPRED: highly accurate prediction of one-dimensional protein structures by large-scale critical random networks.

Authors:  Akira R Kinjo; Ken Nishikawa
Journal:  BMC Bioinformatics       Date:  2006-09-05       Impact factor: 3.169

5.  Reconstructing protein structure from solvent exposure using tabu search.

Authors:  Martin Paluszewski; Thomas Hamelryck; Pawel Winter
Journal:  Algorithms Mol Biol       Date:  2006-10-27       Impact factor: 1.405

6.  Predicting residue-wise contact orders in proteins by support vector regression.

Authors:  Jiangning Song; Kevin Burrage
Journal:  BMC Bioinformatics       Date:  2006-10-03       Impact factor: 3.169

7.  Protein contact order prediction from primary sequences.

Authors:  Yi Shi; Jianjun Zhou; David Arndt; David S Wishart; Guohui Lin
Journal:  BMC Bioinformatics       Date:  2008-05-30       Impact factor: 3.169

8.  Protein molecular surface mapped at different geometrical resolutions.

Authors:  Dan V Nicolau; Ewa Paszek; Florin Fulga; Dan V Nicolau
Journal:  PLoS One       Date:  2013-03-14       Impact factor: 3.240

9.  Nature of protein family signatures: insights from singular value analysis of position-specific scoring matrices.

Authors:  Akira R Kinjo; Haruki Nakamura
Journal:  PLoS One       Date:  2008-04-09       Impact factor: 3.240

10.  Specific non-local interactions are not necessary for recovering native protein dynamics.

Authors:  Bhaskar Dasgupta; Kota Kasahara; Narutoshi Kamiya; Haruki Nakamura; Akira R Kinjo
Journal:  PLoS One       Date:  2014-03-13       Impact factor: 3.240

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