title: A bioinformatics method for identifying Q/N-rich prion-like domains in proteins.
abstract: Numerous proteins contain domains that are enriched in glutamine and asparagine residues, and aggregation of some of these proteins has been linked to both prion formation in yeast and a number of human diseases. Unfortunately, predicting whether a given glutamine/asparagine-rich protein will aggregate has proven difficult. Here we describe a recently developed algorithm designed to predict the aggregation propensity of glutamine/asparagine-rich proteins. We discuss the basis for the algorithm, its limitations, and usage of recently developed online and downloadable versions of the algorithm.
authors.affiliation: Department of Biochemistry, Colorado State University, Fort Collins, CO, USA.
authors.forename: Eric D
authors.initials: ED
authors.lastname: Ross
authors.forename: Kyle S
authors.initials: KS
authors.lastname: Maclea
authors.forename: Charles
authors.initials: C
authors.lastname: Anderson
authors.forename: Asa
authors.initials: A
authors.lastname: Ben-Hur
mesh_terms: D000465:Algorithms; D001216:Asparagine / Q000235:genetics; D019295:Computational Biology / Q000379:methods*; D005973:Glutamine / Q000235:genetics; D006801:Humans; D020407:Internet; D011328:Prions / Q000235:genetics*; D017434:Protein Structure, Tertiary; D012441:Saccharomyces cerevisiae; D020539:Sequence Analysis, Protein / Q000379:methods*; D012984:Software
chemical_list: D011328:Prions; D005973:Glutamine; D001216:Asparagine