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H2r: Identification of evolutionary important residues by means of an entropy based analysis of multiple sequence alignments

Merkl, Rainer and Zwick, Matthias (2007) H2r: Identification of evolutionary important residues by means of an entropy based analysis of multiple sequence alignments. BMC Bioinformatics 9, p. 151.

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Date of publication of this fulltext: 18 Nov 2009 10:04

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Other URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2323388/?tool=pubmed


Abstract

BACKGROUND: A multiple sequence alignment (MSA) generated for a protein can be used to characterise residues by means of a statistical analysis of single columns. In addition to the examination of individual positions, the investigation of co-variation of amino acid frequencies offers insights into function and evolution of the protein and residues. RESULTS: We introduce conn(k), a novel ...

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Item type:Article
Date:2007
Institutions:Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Rainer Merkl
Identification Number:
ValueType
18366663PubMed ID
10.1186/1471-2105-9-151DOI
Classification:
NotationType
Algorithms*MESH
Amino Acid SequenceMESH
Base SequenceMESH
EntropyMESH
Evolution, Molecular*MESH
Molecular Sequence DataMESH
Proteins/chemistry*MESH
Proteins/genetics*MESH
Sequence Alignment/methods*MESH
Sequence Analysis, DNA/methods*MESH
Sequence Analysis, Protein/methods*MESH
Dewey Decimal Classification:500 Science > 570 Life sciences
Status:Published
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Partially
Item ID:10929
Owner only: item control page

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