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Updated: Jan 14, 2026

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
Published on: January 26, 2024
PepString Server As a Tool to Search for Short Amino Acid Subsequences: Identification of Potential Amyloid-Beta
S A Kozin1, A A Anashkina1, D G Matsuga2,3
1Engelhardt Institute of Molecular Biology, Moscow, 119991 Russia.
Abstract:
This paper presents a new bioinformatics tool to meet the needs of researchers in the search for short (≥ 3) amino acid subsequences in protein sequences annotated in public databases (UniprotKB, SwissProt) and illustrates its efficacy with the example of a search for the EVHH tetrapeptide in the human proteome, which is a molecular determinant of amyloid beta and is involved in interactions that are crucial in Alzheimer's disease pathogenesis. The topicality of developing such a tool is, on the one hand, supported by experimental data on the role of short tetrapeptide motifs in the architecture of intermolecular interfaces. On the other hand, there are currently no software products for efficient search for short (≥3) amino acid sequences in public databases, which drastically limits researchers' ability to identify proteins with exact matches of short subsequences. This tool (PepString server, http://pepstring.eimb.ru/) allows one to use intuitive queries to retrieve information about all the proteins that contain sequences of interest, as well as their combinations.
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