Literature DB >> 17557333

New classification of supersecondary structures of sandwich-like proteins uncovers strict patterns of strand assemblage.

Yih-Shien Chiang1, Tatiana I Gelfand, Alexander E Kister, Israel M Gelfand.   

Abstract

To describe the supersecondary structure (SSS) of beta sandwich-like proteins (SPs), we introduce a structural unit called the "strandon." A strandon is defined as a set of sequentially consecutive strands connected by hydrogen bonds in 3D structures. Representing beta-proteins as the assembly of strandons exposes the underlying similarities in their SSS and enables us to construct a novel classification scheme of SPs. Classification of all known SPs is based on shared supersecondary structural features and is presented in the SSS database (http://binfs.umdnj.edu/sssdb/). Analysis of the SSS reveals two common specific patterns. The first pattern defines the arrangement of strandons and was found in 95% of all examined SPs. The second pattern establishes the ordering of strands in the protein domain and was observed in 82% of the analyzed SPs. Knowledge of these two patterns that uncover the spatial arrangement of strands will likely prove useful in protein structure prediction. 2007 Wiley-Liss, Inc.

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Year:  2007        PMID: 17557333     DOI: 10.1002/prot.21473

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  5 in total

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Authors:  Alexander E Kister; Israel Gelfand
Journal:  Proc Natl Acad Sci U S A       Date:  2009-10-23       Impact factor: 11.205

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Authors:  Ashwin Subramani; Christodoulos A Floudas
Journal:  PLoS One       Date:  2012-03-09       Impact factor: 3.240

3.  Amino acid distribution rules predict protein fold: protein grammar for beta-strand sandwich-like structures.

Authors:  Alexander Kister
Journal:  Biomolecules       Date:  2015-01-23

4.  Super Secondary Structure Consisting of a Polyproline II Helix and a β-Turn in Leucine Rich Repeats in Bacterial Type III Secretion System Effectors.

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Journal:  Protein J       Date:  2018-06       Impact factor: 2.371

5.  Feature-extraction and analysis based on spatial distribution of amino acids for SARS-CoV-2 Protein sequences.

Authors:  Ranjeet Kumar Rout; Sk Sarif Hassan; Sabha Sheikh; Saiyed Umer; Kshira Sagar Sahoo; Amir H Gandomi
Journal:  Comput Biol Med       Date:  2021-11-10       Impact factor: 6.698

  5 in total

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