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Related Experiment Videos

Human non-synonymous SNPs: server and survey.

Vasily Ramensky1, Peer Bork, Shamil Sunyaev

  • 1European Molecular Biology Laboratory, Meyerhofstrasse 1, 69117 Heidelberg, Germany.

Nucleic Acids Research
|August 31, 2002
PubMed
Summary
This summary is machine-generated.

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This study introduces a web server for predicting the impact of single nucleotide polymorphisms (SNPs) on protein function. It reveals that selection pressure against harmful SNPs varies with protein function, particularly for transcription regulation proteins.

Area of Science:

  • Genetics
  • Bioinformatics
  • Molecular Biology

Background:

  • Human DNA variation is frequent, with single nucleotide polymorphisms (SNPs) being the most common.
  • Understanding the genetic basis of human phenotypes and complex diseases is a key research goal.
  • Non-synonymous coding SNPs (nsSNPs) are thought to significantly influence protein function and phenotype.

Purpose of the Study:

  • To develop a World Wide Web server for predicting the functional impact of nsSNPs.
  • To analyze a dataset of nsSNPs from the HGVbase database using the developed prediction method.
  • To investigate the relationship between protein characteristics, amino acid substitutions, and phenotypic effects.

Main Methods:

  • Development of a web server for nsSNP effect prediction on protein structure and function.

Related Experiment Videos

  • Analysis of the HGVbase public SNP database to create a dataset of nsSNPs with predicted functionality.
  • Comparative analysis of structural and functional characteristics of amino acid substitutions.
  • Study of selective pressure dependence on protein structural and functional properties.

    • Main Results:

    • A dataset of nsSNPs with predicted functional impacts was generated from HGVbase.
    • The study compared the effects of various structural and functional characteristics of amino acid substitutions.
    • Selective pressure against deleterious SNPs was found to be dependent on protein molecular function.
    • Selection pressure was insensitive to several other considered protein features.

    Conclusions:

    • The developed web server aids in analyzing the functional consequences of nsSNPs.
    • Protein molecular function is a significant factor influencing selective pressure against harmful SNPs.
    • Proteins involved in transcription regulation exhibit the strongest selective pressure against deleterious nsSNPs.