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Three-helix bundle and SH3-type barrels: autonomously stable structural motifs in small and large proteins. | LitMetric

AI Article Synopsis

  • The study explores two types of protein structures, three-helix bundles and SH3-type barrels, across various organisms using a neural graph network to analyze their spatial folds.
  • Molecular experiments were conducted on small proteins with these structures, evaluating parameters like stability and structural integrity at different temperatures (300K, 340K, and 370K).
  • The research aims to show that it is possible to analyze these protein folds independently from their protein environment, leading to improved efficiency and reduced computation time without losing essential information.

Article Abstract

In this study, we investigated two variants of a three-helix bundle and SH3-type barrel, compact in space, present in small and large proteins of various living organisms. Using a neural graph network, proteins with three-helix bundle ( = 1377) and SH3-type barrels ( = 1914) spatial folds were selected. Molecular experiments were performed for small proteins with these folds, and motifs were studied autonomously outside the protein environment at 300, 340, and 370 K. A comparative analysis of the main parameters of the structures in the course of the experiment was performed, including gyration radius, area accessible to the solvent, number of hydrophobic and hydrogen bonds, and root-mean-square deviation of atomic positions (RMSD). We exhibited an autonomous stability of the studied folds outside the protein environment in an aquatic medium. We aimed to demonstrate the possibility of analyzing three-helix bundle and SH3-type barrels autonomously outside the protein globule, thereby reducing the computational time and increasing performance without significant loss of information.Communicated by Ramaswamy H. Sarma.

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Source
http://dx.doi.org/10.1080/07391102.2023.2250450DOI Listing

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