LITTLE KEVIN: a program for the estimation of protein homology by analysing the amino acid compositions and sequences
Identifieur interne : 000134 ( France/Analysis ); précédent : 000133; suivant : 000135LITTLE KEVIN: a program for the estimation of protein homology by analysing the amino acid compositions and sequences
Auteurs : J. P. Grillasca [France] ; D. Aubert [France] ; R. Planells [France] ; N. Domingo [France] ; H. Lafont [France]Source :
- Bioinformatics [ 1367-4803 ] ; 1996-08.
Abstract
We present here a computational method based on the analysis of amino acid composition for performing comparisons between proteins. This user-friendly and reliable test is aimed at rapidly identifying, from data-base subsets, sequences—if necessary, partial sequences—which share similar amino acid compositions to the input composition (deduced from experimental results). Apparent molecular weight (as determined by SDS-PAGE) and artefactual modifications due to the experimental determination of the amino acid composition are taken into account to perform the comparison. This program thus constitutes a useful tool in searching for the probable identification of either nonsequenced proteins or peptides from hydrolysed proteins.
Url:
DOI: 10.1093/bioinformatics/12.4.347
Affiliations:
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<front><div type="abstract">We present here a computational method based on the analysis of amino acid composition for performing comparisons between proteins. This user-friendly and reliable test is aimed at rapidly identifying, from data-base subsets, sequences—if necessary, partial sequences—which share similar amino acid compositions to the input composition (deduced from experimental results). Apparent molecular weight (as determined by SDS-PAGE) and artefactual modifications due to the experimental determination of the amino acid composition are taken into account to perform the comparison. This program thus constitutes a useful tool in searching for the probable identification of either nonsequenced proteins or peptides from hydrolysed proteins.</div>
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