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Amino acid analysis of proteins separated by two‐dimensional electrophoresis in maize: Isoform detection and function identification
Author(s) -
Touzet Pascal,
de Vienne Dominique,
Huet JeanClaude,
Ouali Christian,
Bouet Françoise,
Zivy Michel
Publication year - 1996
Publication title -
electrophoresis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.666
H-Index - 158
eISSN - 1522-2683
pISSN - 0173-0835
DOI - 10.1002/elps.1150170819
Subject(s) - false positive paradox , amino acid , gene isoform , biochemistry , biology , function (biology) , identification (biology) , computational biology , peptide sequence , chromatography , chemistry , gene , genetics , computer science , botany , artificial intelligence
The possibility of using experimentally determined amino acid composition to assess relatedness between 75 proteins separated by two‐dimensional electrophoresis (2‐DE) and to identify them was tested on maize. Two independent parameters, the relative Euclidean distance and the correlation coefficient between the amino acid compositions, were evaluated and used. Previous sequence information for 31 out of the 75 proteins made it possible to evaluate the method for the detection of isoforms and for identification. However, the extension of the interrogation beyond maize to all plant sequences raised the problem of false positives that could nevertheless be limited by replications and by using additional information. The efficiency of the method to assess relatedness betwen proteins should make amino acid composition analysis a valuable tool in large protein characterization programs based on 2‐DE, by facilitating the transfer of information from one well‐documented organ/tissue or genotype to another.