Literature DB >> 20210310

Secondary structure characterization based on amino acid composition and availability in proteins.

Joji M Otaki1, Motosuke Tsutsumi, Tomonori Gotoh, Haruhiko Yamamoto.   

Abstract

The importance of thorough analyses of the secondary structures in proteins as basic structural units cannot be overemphasized. Although recent computational methods have achieved reasonably high accuracy for predicting secondary structures from amino acid sequences, a simple and fundamental empirical approach to characterize the amino acid composition of secondary structures was performed mainly in 1970s, with a small number of analyzed structures. To extend this classical approach using a large number of analyzed structures, here we characterized the amino acid sequences of secondary structures (12 154 alpha-helix units, 4592 3(10)-helix units, 16 787 beta-strand units, and 30 811 "other" units), using the representative three-dimensional protein structure records (1641 protein chains) from the Protein Data Bank. We first examined the length and the amino acid compositions of secondary structures, including rank order differences and assignment relationships among amino acids. These compositional results were largely, but not entirely, consistent with the previous studies. In addition, we examined the frequency of 400 amino acid doublets and 8000 triplets in secondary structures based on their relative counts, termed the availability. We identified not only some triplets that were specific to a certain secondary structure but also so-called zero-count triplets, which did not occur in a given secondary structure at all, even though they were probabilistically predicted to occur several times. Taken together, the present study revealed essential features of secondary structures and suggests potential applications in the secondary structure prediction and the functional design of protein sequences.

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Year:  2010        PMID: 20210310     DOI: 10.1021/ci900452z

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  9 in total

1.  Nonfunctional Missense Mutants in Two Well Characterized Cytosolic Enzymes Reveal Important Information About Protein Structure and Function.

Authors:  Ashley E Cole; Fatmah M Hani; Brian W Allen; Paul C Kline; Elliot Altman
Journal:  Protein J       Date:  2018-10       Impact factor: 2.371

2.  Disorder and cysteines in proteins: A design for orchestration of conformational see-saw and modulatory functions.

Authors:  Anukool A Bhopatkar; Vladimir N Uversky; Vijayaraghavan Rangachari
Journal:  Prog Mol Biol Transl Sci       Date:  2020-06-27       Impact factor: 3.622

3.  Comprehensive Analysis of Protein Glycation Reveals Its Potential Impacts on Protein Degradation and Gene Expression in Human Cells.

Authors:  Fangxu Sun; Suttipong Suttapitugsakul; Haopeng Xiao; Ronghu Wu
Journal:  J Am Soc Mass Spectrom       Date:  2019-05-09       Impact factor: 3.109

Review 4.  A frequency-based linguistic approach to protein decoding and design: Simple concepts, diverse applications, and the SCS Package.

Authors:  Kenta Motomura; Morikazu Nakamura; Joji M Otaki
Journal:  Comput Struct Biotechnol J       Date:  2013-03-29       Impact factor: 7.271

5.  Amino acid side chain contribution to protein FTIR spectra: impact on secondary structure evaluation.

Authors:  Joëlle De Meutter; Erik Goormaghtigh
Journal:  Eur Biophys J       Date:  2021-02-08       Impact factor: 1.733

6.  Word decoding of protein amino Acid sequences with availability analysis: a linguistic approach.

Authors:  Kenta Motomura; Tomohiro Fujita; Motosuke Tsutsumi; Satsuki Kikuzato; Morikazu Nakamura; Joji M Otaki
Journal:  PLoS One       Date:  2012-11-21       Impact factor: 3.240

7.  A systematic analysis of the beta hairpin motif in the Protein Data Bank.

Authors:  Cory D DuPai; Bryan W Davies; Claus O Wilke
Journal:  Protein Sci       Date:  2021-01-07       Impact factor: 6.993

8.  Identification of protein N-termini in Cyanophora paradoxa cyanelles: transit peptide composition and sequence determinants for precursor maturation.

Authors:  Daniel Köhler; Dirk Dobritzsch; Wolfgang Hoehenwarter; Stefan Helm; Jürgen M Steiner; Sacha Baginsky
Journal:  Front Plant Sci       Date:  2015-07-22       Impact factor: 5.753

9.  Hot spot prediction in protein-protein interactions by an ensemble system.

Authors:  Quanya Liu; Peng Chen; Bing Wang; Jun Zhang; Jinyan Li
Journal:  BMC Syst Biol       Date:  2018-12-31
  9 in total

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