Literature DB >> 25848034

Alternative approach to protein structure prediction based on sequential similarity of physical properties.

Yi He1, S Rackovsky2, Yanping Yin1, Harold A Scheraga3.   

Abstract

The relationship between protein sequence and structure arises entirely from amino acid physical properties. An alternative method is therefore proposed to identify homologs in which residue equivalence is based exclusively on the pairwise physical property similarities of sequences. This approach, the property factor method (PFM), is entirely different from those in current use. A comparison is made between our method and PSI BLAST. We demonstrate that traditionally defined sequence similarity can be very low for pairs of sequences (which therefore cannot be identified using PSI BLAST), but similarity of physical property distributions results in almost identical 3D structures. The performance of PFM is shown to be better than that of PSI BLAST when sequence matching is comparable, based on a comparison using targets from CASP10 (89 targets) and CASP11 (51 targets). It is also shown that PFM outperforms PSI BLAST in informatically challenging targets.

Entities:  

Keywords:  amino acid physical properties; homology modeling; protein structure prediction

Mesh:

Substances:

Year:  2015        PMID: 25848034      PMCID: PMC4413275          DOI: 10.1073/pnas.1504806112

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  18 in total

1.  Comparison of sequence profiles. Strategies for structural predictions using sequence information.

Authors:  L Rychlewski; L Jaroszewski; W Li; A Godzik
Journal:  Protein Sci       Date:  2000-02       Impact factor: 6.725

2.  Fast assignment of protein structures to sequences using the intermediate sequence library PDB-ISL.

Authors:  S A Teichmann; C Chothia; G M Church; J Park
Journal:  Bioinformatics       Date:  2000-02       Impact factor: 6.937

Review 3.  Improving the accuracy of PSI-BLAST protein database searches with composition-based statistics and other refinements.

Authors:  A A Schäffer; L Aravind; T L Madden; S Shavirin; J L Spouge; Y I Wolf; E V Koonin; S F Altschul
Journal:  Nucleic Acids Res       Date:  2001-07-15       Impact factor: 16.971

4.  Within the twilight zone: a sensitive profile-profile comparison tool based on information theory.

Authors:  Golan Yona; Michael Levitt
Journal:  J Mol Biol       Date:  2002-02-01       Impact factor: 5.469

5.  Combining local-structure, fold-recognition, and new fold methods for protein structure prediction.

Authors:  Kevin Karplus; Rachel Karchin; Jenny Draper; Jonathan Casper; Yael Mandel-Gutfreund; Mark Diekhans; Richard Hughey
Journal:  Proteins       Date:  2003

6.  A sequence-profile-based HMM for predicting and discriminating beta barrel membrane proteins.

Authors:  Pier Luigi Martelli; Piero Fariselli; Anders Krogh; Rita Casadio
Journal:  Bioinformatics       Date:  2002       Impact factor: 6.937

7.  Homolog detection using global sequence properties suggests an alternate view of structural encoding in protein sequences.

Authors:  Harold A Scheraga; S Rackovsky
Journal:  Proc Natl Acad Sci U S A       Date:  2014-03-24       Impact factor: 11.205

8.  Computation of structures of homologous proteins. Alpha-lactalbumin from lysozyme.

Authors:  P K Warme; F A Momany; S V Rumball; R W Tuttle; H A Scheraga
Journal:  Biochemistry       Date:  1974-02-12       Impact factor: 3.162

9.  Prediction of structural homology between bovine -lactalbumin and hen egg white lysozyme.

Authors:  P N Lewis; H A Scheraga
Journal:  Arch Biochem Biophys       Date:  1971-06       Impact factor: 4.013

10.  TM-align: a protein structure alignment algorithm based on the TM-score.

Authors:  Yang Zhang; Jeffrey Skolnick
Journal:  Nucleic Acids Res       Date:  2005-04-22       Impact factor: 16.971

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  2 in total

1.  Sequence-, structure-, and dynamics-based comparisons of structurally homologous CheY-like proteins.

Authors:  Yi He; Gia G Maisuradze; Yanping Yin; Khatuna Kachlishvili; S Rackovsky; Harold A Scheraga
Journal:  Proc Natl Acad Sci U S A       Date:  2017-01-31       Impact factor: 11.205

2.  Artificial intelligence-based multi-objective optimization protocol for protein structure refinement.

Authors:  Di Wang; Ling Geng; Yu-Jun Zhao; Yang Yang; Yan Huang; Yang Zhang; Hong-Bin Shen
Journal:  Bioinformatics       Date:  2020-01-15       Impact factor: 6.931

  2 in total

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