Your browser doesn't support javascript.
loading
Introduction of a new scheme for classifying ß-turns in protein structures.
Zhang, Ruojing; Stahr, Michael C; Kennedy, Michael A.
Afiliación
  • Zhang R; Department of Chemistry and Biochemistry, Miami University, Oxford, Ohio, USA.
  • Stahr MC; Department of Computer Science and Software Engineering, Miami University, Oxford, Ohio, USA.
  • Kennedy MA; Department of Chemistry and Biochemistry, Miami University, Oxford, Ohio, USA.
Proteins ; 90(1): 110-122, 2022 01.
Article en En | MEDLINE | ID: mdl-34322903
Protein ß-turn classification remains an area of ongoing development in structural biology research. While the commonly used nomenclature defining type I, type II and type IV ß-turns was introduced in the 1970s and 1980s, refinements of ß-turn type definitions have been introduced as recently as 2019 by Dunbrack, Jr and co-workers who expanded the number of ß-turn types to 18 (Shapovalov et al, PLOS Computat. Biol., 15, e1006844, 2019). Based on their analysis of 13 030 turns from 1074 ultrahigh resolution (≤1.2 Å) protein structures, they used a new clustering algorithm to expand the definitions used to classify protein ß-turns and introduced a new nomenclature system. We recently encountered a specific problem when classifying ß-turns in crystal structures of pentapeptide repeat proteins (PRPs) determined in our lab that are largely composed of ß-turns that often lie close to, but just outside of, canonical ß-turn regions. To address this problem, we devised a new scheme that merges the Klyne-Prelog stereochemistry nomenclature and definitions with the Ramachandran plot. The resulting Klyne-Prelog-modified Ramachandran plot scheme defines 1296 distinct potential ß-turn classifications that cover all possible protein ß-turn space with a nomenclature that indicates the stereochemistry of i + 1 and i + 2 backbone dihedral angles. The utility of the new classification scheme was illustrated by re-classification of the ß-turns in all known protein structures in the PRP superfamily and further assessed using a database of 16 657 high-resolution protein structures (≤1.5 Å) from which 522 776 ß-turns were identified and classified.
Asunto(s)
Palabras clave

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Conformación Proteica / Proteínas Idioma: En Revista: Proteins Asunto de la revista: BIOQUIMICA Año: 2022 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Conformación Proteica / Proteínas Idioma: En Revista: Proteins Asunto de la revista: BIOQUIMICA Año: 2022 Tipo del documento: Article