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Updated: Jun 1, 2026

An Integrated Approach for Microprotein Identification and Sequence Analysis
Published on: July 12, 2022
SA-Mot: a web server for the identification of motifs of interest extracted from protein loops
Leslie Regad1, Adrien Saladin, Julien Maupetit
1INSERM, U973, Université Paris 7-Paris Diderot, UMR-S973, MTi F-75013 Paris, France. leslie.regad@univ-paris-diderot.fr
Abstract:
The detection of functional motifs is an important step for the determination of protein functions. We present here a new web server SA-Mot (Structural Alphabet Motif) for the extraction and location of structural motifs of interest from protein loops. Contrary to other methods, SA-Mot does not focus only on functional motifs, but it extracts recurrent and conserved structural motifs involved in structural redundancy of loops. SA-Mot uses the structural word notion to extract all structural motifs from uni-dimensional sequences corresponding to loop structures. Then, SA-Mot provides a description of these structural motifs using statistics computed in the loop data set and in SCOP superfamily, sequence and structural parameters. SA-Mot results correspond to an interactive table listing all structural motifs extracted from a target structure and their associated descriptors. Using this information, the users can easily locate loop regions that are important for the protein folding and function. The SA-Mot web server is available at http://sa-mot.mti.univ-paris-diderot.fr.
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