Literature DB >> 10065707

Amino acid composition of protein termini are biased in different manners.

I N Berezovsky1, G T Kilosanidze, V G Tumanyan, L L Kisselev.   

Abstract

An exhaustive statistical analysis of the amino acid sequences at the carboxyl (C) and amino (N) termini of proteins and of coding nucleic acid sequences at the 5' side of the stop codons was undertaken. At the N ends, Met and Ala residues are over-represented at the first (+1) position whereas at positions 2 and 5 Thr is preferred. These peculiarities at N-termini are most probably related to the mechanism of initiation of translation (for Met) and to the mechanisms governing the life-span of proteins via regulation of their degradation (for Ala and Thr). We assume that the C-terminal bias facilitates fixation of the C ends on the protein globule by a preference for charged and Cys residues. The terminal biases, a novel feature of protein structure, have to be taken into account when molecular evolution, three-dimensional structure, initiation and termination of translation, protein folding and life-span are concerned. In addition, the bias of protein termini composition is an important feature which should be considered in protein engineering experiments.

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Mesh:

Year:  1999        PMID: 10065707     DOI: 10.1093/protein/12.1.23

Source DB:  PubMed          Journal:  Protein Eng        ISSN: 0269-2139


  13 in total

1.  The N-terminal to C-terminal motif in protein folding and function.

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Journal:  Proc Natl Acad Sci U S A       Date:  2005-01-18       Impact factor: 11.205

2.  A self-referential model for the formation of the genetic code.

Authors:  Romeu Cardoso Guimarães; Carlos Henrique Costa Moreira; Sávio Torres de Farias
Journal:  Theory Biosci       Date:  2008-05-21       Impact factor: 1.919

3.  Classification of bacteria based on the biases of terminal amino acid residues.

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Journal:  Protein J       Date:  2011-04       Impact factor: 2.371

4.  Nonrandom tripeptide sequence distributions at protein carboxyl termini.

Authors:  Gregory J Gatto; Jeremy M Berg
Journal:  Genome Res       Date:  2003-04       Impact factor: 9.043

5.  Structure of the genetic code suggested by the hydropathy correlation between anticodons and amino acid residues.

Authors:  Sávio Torres de Farias; Carlos Henrique Costa Moreira; Romeu Cardoso Guimarães
Journal:  Orig Life Evol Biosph       Date:  2006-09-06       Impact factor: 1.120

6.  Comparison of characteristics and function of translation termination signals between and within prokaryotic and eukaryotic organisms.

Authors:  Andrew G Cridge; Louise L Major; Alhad A Mahagaonkar; Elizabeth S Poole; Leif A Isaksson; Warren P Tate
Journal:  Nucleic Acids Res       Date:  2006-04-13       Impact factor: 16.971

7.  CIPPN: computational identification of protein pupylation sites by using neural network.

Authors:  Wenzheng Bao; Zhu-Hong You; De-Shuang Huang
Journal:  Oncotarget       Date:  2017-11-06

Review 8.  Self-Referential Encoding on Modules of Anticodon Pairs-Roots of the Biological Flow System.

Authors:  Romeu Cardoso Guimarães
Journal:  Life (Basel)       Date:  2017-04-06

9.  Protein charge distribution in proteomes and its impact on translation.

Authors:  Rodrigo D Requião; Luiza Fernandes; Henrique José Araujo de Souza; Silvana Rossetto; Tatiana Domitrovic; Fernando L Palhano
Journal:  PLoS Comput Biol       Date:  2017-05-22       Impact factor: 4.475

10.  C-terminal motif prediction in eukaryotic proteomes using comparative genomics and statistical over-representation across protein families.

Authors:  Ryan S Austin; Nicholas J Provart; Sean R Cutler
Journal:  BMC Genomics       Date:  2007-06-26       Impact factor: 3.969

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