Large-scale analysis of secondary structure changes in proteins suggests a role for disorder-to-order transitions in nucleotide binding proteins

Adi Dan, Yanay Ofran, Yossef Kliger

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

Conformational changes in proteins often involve secondary structure transitions. Such transitions can be divided into two types: disorder-to-order changes, in which a disordered segment acquires an ordered secondary structure (e.g., disorder to a-helix, disorder to β-strand), and order-toorder changes, where a segment switches from one ordered secondary structure to another (e.g., α-helix to β-strand, α-helix to turn). In this study, we explore the distribution of these transitions in the proteome. Using a comprehensive, yet highly conservative method, we compared solved three-dimensional structures of identical protein sequences, looking for differences in the secondary structures with which they were assigned. Protein chains in which such secondary structure transitions were detected, were classified into two sets according to the type of transition that is involved (disorder-to-order or order-toorder), allowing us to characterize each set by examining enrichment of gene ontology terms. The results reveal that the disorderto-order set is significantly enriched with nucleotide binding proteins, whereas the order-to-order set is more diverse. Remarkably, further examination reveals that >22% of the purine nucleotide binding proteins include segments which undergo disorder-to-order transitions, suggesting that such transitions play an important role in this process.

Original languageEnglish
Pages (from-to)236-248
Number of pages13
JournalProteins: Structure, Function and Bioinformatics
Volume78
Issue number2
DOIs
StatePublished - 1 Feb 2010

Fingerprint

Dive into the research topics of 'Large-scale analysis of secondary structure changes in proteins suggests a role for disorder-to-order transitions in nucleotide binding proteins'. Together they form a unique fingerprint.

Cite this