Literature DB >> 1493047

Diagrammatization of codon usage in 339 human immunodeficiency virus proteins and its biological implication.

K C Chou1, C T Zhang.   

Abstract

The occurrence frequencies of bases A (adenine), C (cytosine, G (guanine), and T (thymine) occurring in the 1st, 2nd, and 3rd codon positions in the codon usage table of viral genes for the 339 human immunodeficiency virus (HIV) proteins compiled recently have been calculated and diagrammatized. For comparison, the corresponding diagrammatic representations for the 2681 human proteins from the codon usage table for primate genes are also presented. The analyzed results based on these characteristic diagrams indicate that considerably similar features have been found between HIV and human proteins for the 1st and 2nd codon positions; i.e., they are all occupied predominantly by purine, especially base A. However, a significant difference in the 3rd codon position between HIV and human proteins has been observed; i.e., human proteins are of high C + G content and low A + G content in the 3rd codon position, whereas the case is just the opposite for HIV proteins. The biological implication of such a duality on the codon bias of HIV against human proteins is discussed. It is suggested that the 1st and 2nd codon positions can be termed as the structure-determining position, and the 3rd codon position termed as the species-determining position. The diagrammatic representation and analysis method described here possess a great potential for the study of molecular evolution from the viewpoint of the genetic code for which data have been accumulated rapidly and will continue to grow at a much faster pace.

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Year:  1992        PMID: 1493047     DOI: 10.1089/aid.1992.8.1967

Source DB:  PubMed          Journal:  AIDS Res Hum Retroviruses        ISSN: 0889-2229            Impact factor:   2.205


  29 in total

1.  Identification of two sequences in the cytoplasmic tail of the human immunodeficiency virus type 1 envelope glycoprotein that inhibit cell surface expression.

Authors:  A Bültmann; W Muranyi; B Seed; J Haas
Journal:  J Virol       Date:  2001-06       Impact factor: 5.103

2.  An analysis of base frequencies in the anti-sense strands corresponding to the 180 human protein coding sequences.

Authors:  C T Zhang; K C Chou
Journal:  Amino Acids       Date:  1996-09       Impact factor: 3.520

3.  Do "antisense proteins" exist?

Authors:  K C Chou; C T Zhang; D W Elrod
Journal:  J Protein Chem       Date:  1996-01

4.  A study of the Immune Epitope Database for some fungi species using network topological indices.

Authors:  Severo Vázquez-Prieto; Esperanza Paniagua; Hugo Solana; Florencio M Ubeira; Humberto González-Díaz
Journal:  Mol Divers       Date:  2017-05-31       Impact factor: 2.943

5.  Studies on the specificity of HIV protease: an application of Markov chain theory.

Authors:  K C Chou; C T Zhang
Journal:  J Protein Chem       Date:  1993-12

6.  The unusual nucleotide content of the HIV RNA genome results in a biased amino acid composition of HIV proteins.

Authors:  B Berkhout; F J van Hemert
Journal:  Nucleic Acids Res       Date:  1994-05-11       Impact factor: 16.971

7.  The tendency of lentiviral open reading frames to become A-rich: constraints imposed by viral genome organization and cellular tRNA availability.

Authors:  F J van Hemert; B Berkhout
Journal:  J Mol Evol       Date:  1995-08       Impact factor: 2.395

Review 8.  The biased nucleotide composition of the HIV genome: a constant factor in a highly variable virus.

Authors:  Antoinette C van der Kuyl; Ben Berkhout
Journal:  Retrovirology       Date:  2012-11-06       Impact factor: 4.602

9.  Application of amino acid occurrence for discriminating different folding types of globular proteins.

Authors:  Y-h Taguchi; M Michael Gromiha
Journal:  BMC Bioinformatics       Date:  2007-10-22       Impact factor: 3.169

10.  A Brief Review: The Z-curve Theory and its Application in Genome Analysis.

Authors:  Ren Zhang; Chun-Ting Zhang
Journal:  Curr Genomics       Date:  2014-04       Impact factor: 2.236

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