DIVAA: analysis of amino acid diversity in multiple aligned protein sequences.
BACKGROUND
Multiple alignments of proteins are an effective way of identifying conserved amino acids that provide clues to functional relationships among proteins. Quantitation of the abundances of amino acids found at each position in a sequence motif can provide a basis for understanding the structural and functional constraints at each point. Distribution of information across a motif has been used previously, but the non-intuitive nature of the analysis has limited its impact.


RESULTS
Here, we introduce a quantitative measure of amino acid sequence diversity (DIVAA) that has a simple, intuitive meaning. Diversity, as a measure of sequence conservation or variation, is inextricably linked to the probability of selecting identical pairs from a distribution. We demonstrate its utility through the analysis of four populations: ATP-binding P-loops, hypervariable domains of kappa light chains, signal sequences, and the N- and C- termini of proteins. DIVAA provides a simple means to generate hypotheses concerning the contribution of individual residues to the functional and evolutionary relationships among proteins.


BACKGROUND
Access to DIVAA software is available at RELIC (http://relic.bio.anl.gov).
Rodi
Diane J
DJ
Combinatorial Biology Unit, Biosciences Division, Argonne National Laboratory, 9700 South Cass Avenue, Argonne, IL 60439, USA.
Mandava
Suneeta
S
Makowski
Lee
L
D000465:Algorithms; D002874:Chromosome Mapping / Q000379:methods; D019143:Evolution, Molecular; D014644:Genetic Variation / Q000235:genetics*; D011506:Proteins / Q000737:chemistry* / Q000235:genetics*; D016415:Sequence Alignment / Q000379:methods*; D020539:Sequence Analysis, Protein / Q000379:methods*; D012984:Software
D011506:Proteins