Literature DB >> 10071187

Disentangling the perturbational effects of amino acid substitutions in the DNA-binding domain of p53.

A I Wacey1, D N Cooper, D Liney, E Hovig, M Krawczak.   

Abstract

The spectrum of somatic cancer-associated missense mutations in the human TP53 gene was studied in order to assess the potential structural and functional importance of various intra-molecular properties associated with these substitutions. Relating the observed frequency of particular amino acid substitutions in the p53 DNA-binding domain to their expected frequency, as calculated from DNA sequence-dependent mutation rates, yielded estimates of their relative clinical observation likelihood (RCOL). Several biophysical properties were found to display significant covariation with RCOL values. Thus RCOL values were observed to decrease with increasing solvent accessibility of the substituted residue and with increasing distance from the p53 DNA-binding and Zn2+ -binding sites. The number of adverse steric interactions introduced by an amino acid replacement was found to be positively correlated with its RCOL value, irrespective of the magnitude of the interactions. A gain in hydrogen bond number was found to be only half as likely to come to clinical attention as mutations involving either a reduction or no change in hydrogen bond number. When the difference in potential energy between the wild-type and mutant DNA-binding domains was considered, RCOL values exhibited a minimum around changes of zero. Finally, classification of mutated residues in terms of their protein/solvent environment yielded, for somatic p53 mutations, RCOL values that resembled those previously determined for inherited mutations of human factor IX causing haemophilia B, suggesting that similar mechanisms may be responsible for the mutation-related perturbation of biological function in different protein folds.

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Year:  1999        PMID: 10071187     DOI: 10.1007/s004390050904

Source DB:  PubMed          Journal:  Hum Genet        ISSN: 0340-6717            Impact factor:   4.132


  3 in total

1.  A functional analysis of disease-associated mutations in the androgen receptor gene.

Authors:  Sean D Mooney; Teri E Klein; Russ B Altman; Mark A Trifiro; Bruce Gottlieb
Journal:  Nucleic Acids Res       Date:  2003-04-15       Impact factor: 16.971

Review 2.  Human gene mutation in pathology and evolution.

Authors:  D N Cooper
Journal:  J Inherit Metab Dis       Date:  2002-05       Impact factor: 4.982

3.  The functional importance of disease-associated mutation.

Authors:  Sean D Mooney; Teri E Klein
Journal:  BMC Bioinformatics       Date:  2002-09-09       Impact factor: 3.169

  3 in total

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