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

Yi He, S. Rackovsky, Yanping Yin, Harold A. Scheraga

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

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.

Original languageEnglish
Pages (from-to)5029-5032
Number of pages4
JournalProceedings of the National Academy of Sciences of the United States of America
Volume112
Issue number16
DOIs
StatePublished - 21 Apr 2015

Keywords

  • Amino acid physical properties
  • Homology modeling
  • Protein structure prediction

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