Home LiteratureArticle Details
PMID: 16299712 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

Intrinsic unstructuredness and abundance of PEST motifs in eukaryotic proteomes.

Proteins ·Vol. 62 ·No. 2 ·2006-02-01 ·Pages 309-15

Singh GP, Ganapathi M, Sandhu KS, Dash D

Abstract

The study of unfolded protein regions has gained importance because of their prevalence and important roles in various cellular functions. These regions have characteristically high net charge and low hydrophobicity. The amino acid sequence determines the intrinsic unstructuredness of a region and, therefore, efforts are ongoing to delineate the sequence motifs, which might contribute to protein disorder. We find that PEST motifs are enriched in the characterized disordered regions as compared with globular ones. Analysis of representative PDB chains revealed very few structures containing PEST sequences and the majority of them lacked regular secondary structure. A proteome-wide study in completely sequenced eukaryotes with predicted unfolded and folded proteins shows that PEST proteins make up a large fraction of unfolded dataset as compared with the folded proteins. Our data also reveal the prevalence of PEST proteins in eukaryotic proteomes (approximately 25%). Functional classification of the PEST-containing proteins shows an over- and under-representation in proteins involved in regulation and metabolism, respectively. Furthermore, our analysis shows that predicted PEST regions do not exhibit any preference to be localized in the C terminals of proteins, as reported earlier.

MeSH Terms
Amino Acid Sequence Animals Genome Humans Protein Denaturation Protein Folding Proteins/chemistry,genetics Proteome Surface Properties
Chemicals
Proteins Proteome
Authors & Affiliations
4 authors, click to expand affiliations / ORCID
Singh Gajinder Pal
Institute of Genomics and Integrative Biology (CSIR), Delhi University Campus, Delhi, India.
Ganapathi Mythily
Sandhu Kuljeet Singh
Dash Debasis
Article Info
Journal
Proteins
Abbr.
Proteins
ISSN
1097-0134
Published
2006-02-01
Pages
309-15
Language
English
Region
United States
NLM ID
8700181
Subset
IM
Analysis Services
Analysis Services

Contact

No. 2 Wenbo Road, Zhangqiu District, Jinan, Shandong

Qilu Normal University · Genelibs Bioinformatics Lab

750 Shunhua Rd, Jinan

2F, Bldg F, University Science Park

Tel: 0531-88819269

WeChat Official Account

Follow our WeChat subscription account for real-time updates and the latest in medical and biological research.


Business Email

E-mail: product@genelibs.com