Sequence similarity scores and the inference of structure-function relationships

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Improved methods are described for the interpretation of two or more aligned protein or nucleic acid sequences. These methods can be used to interpret the possible biological importance of regions within a known three-dimensional structure, or, even without a structure, to correlate sequence similarity with the known function of particular amino acids and to associate sequence similarity with properties predicted from the sequences. Improvements include the calculation of a position-dependent, gap-penalized similarity score; computer-assisted graphical association of sequence similarity with structural, functional or chemical properties of the sequences; and statistical comparisons of the sequence conservation or variability of different groups of residues. An application is described to analyze the sequences of piconarviral capsid proteins.

Original languageEnglish (US)
Pages (from-to)111-119
Number of pages9
JournalBioinformatics
Volume10
Issue number2
DOIs
StatePublished - Apr 2 1994
Externally publishedYes

Fingerprint

Nucleic acid sequences
Capsid Proteins
Structure-function
Chemical properties
Conservation
Association reactions
Proteins
Amino Acids
Nucleic Acids
Sequence Analysis
Amino acids
Protein
Relationships
Similarity
Correlate
Three-dimensional

ASJC Scopus subject areas

  • Molecular Biology
  • Statistics and Probability
  • Computational Mathematics
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Biochemistry
  • Medicine (miscellaneous)

Cite this

Sequence similarity scores and the inference of structure-function relationships. / Chapman, Michael.

In: Bioinformatics, Vol. 10, No. 2, 02.04.1994, p. 111-119.

Research output: Contribution to journalArticle

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