DbStRiPs: Database of structural repeats in proteins.

ABSTRACT: Recent interest in repeat proteins has arisen due to stable structural folds, high evolutionary conservation and repertoire of functions provided by these proteins. However, repeat proteins are poorly characterized because of high sequence variation between repeating units and structure-based identification and classification of repeats is desirable. Using a robust network-based pipeline, manual curation and Kajava's structure-based classification schema, we have developed a database of tandem structural repeats, Database of Structural Repeats in Proteins (DbStRiPs). A unique feature of this database is that available knowledge on sequence repeat families is incorporated by mapping Pfam classification scheme onto structural classification. Integration of sequence and structure-based classi

SUBMITTER: Chakrabarty B 

PROVIDER: S-EPMC8740836 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature