Literature DB >> 17932927

Assessing secondary structure assignment of protein structures by using pairwise sequence-alignment benchmarks.

Wei Zhang1, A Keith Dunker, Yaoqi Zhou.   

Abstract

How to make an objective assignment of secondary structures based on a protein structure is an unsolved problem. Defining the boundaries between helix, sheet, and coil structures is arbitrary, and commonly accepted standard assignments do not exist. Here, we propose a criterion that assesses secondary structure assignment based on the similarity of the secondary structures assigned to pairwise sequence-alignment benchmarks, where these benchmarks are determined by prior structural alignments of the protein pairs. This criterion is used to rank six secondary structure assignment methods: STRIDE, DSSP, SECSTR, KAKSI, P-SEA, and SEGNO with three established sequence-alignment benchmarks (PREFAB, SABmark, and SALIGN). STRIDE and KAKSI achieve comparable success rates in assigning the same secondary structure elements to structurally aligned residues in the three benchmarks. Their success rates are between 1-4% higher than those of the other four methods. The consensus of STRIDE, KAKSI, SECSTR, and P-SEA, called SKSP, improves assignments over the best single method in each benchmark by an additional 1%. These results support the usefulness of the sequence-alignment benchmarks as a means to evaluate secondary structure assignment. The SKSP server and the benchmarks can be accessed at http://sparks.informatics.iupui.edu (c) 2007 Wiley-Liss, Inc.

Mesh:

Substances:

Year:  2008        PMID: 17932927     DOI: 10.1002/prot.21654

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


  10 in total

1.  Analysis of loop boundaries using different local structure assignment methods.

Authors:  Manoj Tyagi; Aurélie Bornot; Bernard Offmann; Alexandre G de Brevern
Journal:  Protein Sci       Date:  2009-09       Impact factor: 6.725

2.  CSI 2.0: a significantly improved version of the Chemical Shift Index.

Authors:  Noor E Hafsa; David S Wishart
Journal:  J Biomol NMR       Date:  2014-10-02       Impact factor: 2.835

3.  Fluctuations of backbone torsion angles obtained from NMR-determined structures and their prediction.

Authors:  Tuo Zhang; Eshel Faraggi; Yaoqi Zhou
Journal:  Proteins       Date:  2010-12

4.  SPINE X: improving protein secondary structure prediction by multistep learning coupled with prediction of solvent accessible surface area and backbone torsion angles.

Authors:  Eshel Faraggi; Tuo Zhang; Yuedong Yang; Lukasz Kurgan; Yaoqi Zhou
Journal:  J Comput Chem       Date:  2011-11-02       Impact factor: 3.376

5.  Minimum message length inference of secondary structure from protein coordinate data.

Authors:  Arun S Konagurthu; Arthur M Lesk; Lloyd Allison
Journal:  Bioinformatics       Date:  2012-06-15       Impact factor: 6.937

6.  Improving prediction of secondary structure, local backbone angles, and solvent accessible surface area of proteins by iterative deep learning.

Authors:  Rhys Heffernan; Kuldip Paliwal; James Lyons; Abdollah Dehzangi; Alok Sharma; Jihua Wang; Abdul Sattar; Yuedong Yang; Yaoqi Zhou
Journal:  Sci Rep       Date:  2015-06-22       Impact factor: 4.379

7.  Sixty-five years of the long march in protein secondary structure prediction: the final stretch?

Authors:  Yuedong Yang; Jianzhao Gao; Jihua Wang; Rhys Heffernan; Jack Hanson; Kuldip Paliwal; Yaoqi Zhou
Journal:  Brief Bioinform       Date:  2018-05-01       Impact factor: 11.622

8.  Discovering the Ultimate Limits of Protein Secondary Structure Prediction.

Authors:  Chia-Tzu Ho; Yu-Wei Huang; Teng-Ruei Chen; Chia-Hua Lo; Wei-Cheng Lo
Journal:  Biomolecules       Date:  2021-11-03

9.  A method for WD40 repeat detection and secondary structure prediction.

Authors:  Yang Wang; Fan Jiang; Zhu Zhuo; Xian-Hui Wu; Yun-Dong Wu
Journal:  PLoS One       Date:  2013-06-11       Impact factor: 3.240

10.  A New Secondary Structure Assignment Algorithm Using Cα Backbone Fragments.

Authors:  Chen Cao; Guishen Wang; An Liu; Shutan Xu; Lincong Wang; Shuxue Zou
Journal:  Int J Mol Sci       Date:  2016-03-11       Impact factor: 5.923

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.