Literature DB >> 12535686

Estimation of amino acid pairs sensitive to variants in human phenylalanine hydroxylase protein by means of a random approach.

Guang Wu1, Shaomin Yan.   

Abstract

In this data-based theoretical analysis, we use a random approach to estimate amino acid pairs in human phenylalanine 4-hydroxylase (PAH) protein in order to determine which amino acid pairs are more sensitive to 187 variants in human PAH protein. The rationale of this study is based on our hypothesis and previous findings that the harmful variants are more likely to occur at randomly unpredictable amino acid pairs rather than at randomly predictable pairs. 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. 94.12% of 187 variants occurred at randomly unpredictable amino acid pairs, which accounted for 71.84% of 451 amino acid pairs in human PAH protein. The chance of a variant occurring is five times higher in randomly unpredictable amino acid pairs than in predictable pairs. Thus, randomly unpredictable amino acid pairs are more sensitive to variance in human PAH protein. The results also suggest that the human PAH protein has a natural tendency towards variants.

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Year:  2002        PMID: 12535686     DOI: 10.1016/s0196-9781(02)00249-8

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


  7 in total

1.  Determination of mutation trend in proteins by means of translation probability between RNA codes and mutated amino acids.

Authors:  Guang Wu; Shaomin Yan
Journal:  Biochem Biophys Res Commun       Date:  2005-09-26       Impact factor: 3.575

Review 2.  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

3.  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

4.  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

5.  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

6.  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

7.  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

  7 in total

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