Literature DB >> 12732331

Analysis of amino acid pairs sensitive to variants in human collagen alpha5(IV) chain precursor by means of a random approach.

Guang Wu1, Shaomin Yan.   

Abstract

In this data-based theoretical analysis, we use the random approach to analyze the amino acid pairs in 5(IV) chain precursor (CA54) in order to determine which amino acid pairs are more sensitive to 151 variants from missense mutant human CA54 protein. The rationale of this study is based on our hypothesis and previous findings that harmful variance is more likely to occur at randomly unpredictable amino acid pair position rather than at randomly predictable positions. This is reasonable to argue as randomly predictable amino acid pairs are less likely to be deliberately evolved, whereas randomly unpredictable amino acid pairs are probably deliberately evolved in connection with protein function. The results show that all 151 variants occurred at randomly unpredictable amino acid pairs and the chance of a variant occurring is markedly higher in randomly unpredictable amino acid pairs than in predictable pairs. Thus, randomly unpredictable amino acid pairs are more sensitive to variance in human CA54. The results also suggest that the human CA54 protein has a natural tendency towards variants.

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Year:  2003        PMID: 12732331     DOI: 10.1016/s0196-9781(03)00048-2

Source DB:  PubMed          Journal:  Peptides        ISSN: 0196-9781            Impact factor:   3.750


  6 in total

Review 1.  Mutation trend of hemagglutinin of influenza A virus: a review from a computational mutation viewpoint.

Authors:  Guang Wu; Shao-Min Yan
Journal:  Acta Pharmacol Sin       Date:  2006-05       Impact factor: 6.150

2.  Reasoning of spike glycoproteins being more vulnerable to mutations among 158 coronavirus proteins from different species.

Authors:  Guang Wu; Shaomin Yan
Journal:  J Mol Model       Date:  2004-12-09       Impact factor: 1.810

3.  Potential targets for anti-SARS drugs in the structural proteins from SARS related coronavirus.

Authors:  Guang Wu; Shaomin Yan
Journal:  Peptides       Date:  2004-06       Impact factor: 3.750

4.  Prediction of amino acid pairs sensitive to mutations in the spike protein from SARS related coronavirus.

Authors:  Guang Wu; Shaomin Yan
Journal:  Peptides       Date:  2003-12       Impact factor: 3.750

5.  Prediction of mutations engineered by randomness in H5N1 hemagglutinins of influenza A virus.

Authors:  G Wu; S Yan
Journal:  Amino Acids       Date:  2007-11-02       Impact factor: 3.520

6.  Prediction of mutations engineered by randomness in H5N1 neuraminidases from influenza A virus.

Authors:  G Wu; S Yan
Journal:  Amino Acids       Date:  2007-08-28       Impact factor: 3.520

  6 in total

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