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Joël-Paul Grillasca

dblp:16/6087 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1996
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › protein sequence analysis
amino acid composition
0.011996
LITTLE KEVIN: a program for the estimation of protein homology by analysing the amino acid compositions and sequences · Comput. Appl. Biosci. 1996
Bioinformatics and computational biology › proteomics
protein identification
0.011996
LITTLE KEVIN: a program for the estimation of protein homology by analysing the amino acid compositions and sequences · Comput. Appl. Biosci. 1996

Methods — techniques the papers use, named apart from their topics

amino acid composition comparison · 0.0
YearPublicationVenuePosition
1996 LITTLE KEVIN: a program for the estimation of protein homology by analysing the amino acid compositions and sequences
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 non-sequenced proteins or peptides from hydrolysed proteins.
Joël-Paul Grillasca, Denis Aubert, Richard Planells, N. Domingo, H. Lafont
Comput. Appl. Biosci.1