Literature DB >> 30945227

Homology Searches Using Supersecondary Structure Code.

Hiroshi Izumi1.   

Abstract

Supersecondary structure code (SSSC), which is represented as the combination of α-helix-type (SSSC: H), β-sheet-type (SSSC: S), the other (SSSC: T), and disorder residue or C-terminal (SSSC: D) patterns, has been produced by the developed concept of Ramachandran plot, in addition, with the ω angle and with the specification of positions of torsion angles in a protein by the registration of codes for torsion angles of each amino acid peptide unit, derived from the fuzzy search of structural code homology using the template patterns 3a5c4a (SSSC: H) and 6c4a4a (SSSC: S) with conformational codes. The DSSP (Dictionary of Secondary Structure in Proteins) method assigns the secondary structure including hydrogen bond well. In contrast, supersecondary structure code is very sensitive to the supersecondary structures of proteins. In this chapter, the protocol of homology search methods, the sequence alignment using supersecondary structure code, the assignment of supersecondary structure code T, the fuzzy search using supersecondary structure code, and the exact search using supersecondary structure code are described. Supersecondary structure code is variable with the conformational change. If possible, many Protein Data Bank (PDB) data of similar main chains of proteins should be used for the homology searches. The thorough check of SSSC sequences is also useful to reveal the role of target pattern.

Entities:  

Keywords:  Conformation; DSSP; Multiple sequence alignment; Ramachandran plot; Supersecondary structure code

Mesh:

Substances:

Year:  2019        PMID: 30945227     DOI: 10.1007/978-1-4939-9161-7_17

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  2 in total

1.  SSSCPreds: Deep Neural Network-Based Software for the Prediction of Conformational Variability and Application to SARS-CoV-2.

Authors:  Hiroshi Izumi; Laurence A Nafie; Rina K Dukor
Journal:  ACS Omega       Date:  2020-11-19

2.  Conformational Variability Correlation Prediction of Transmissibility and Neutralization Escape Ability for Multiple Mutation SARS-CoV-2 Strains using SSSCPreds.

Authors:  Hiroshi Izumi; Laurence A Nafie; Rina K Dukor
Journal:  ACS Omega       Date:  2021-07-16
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.