title: Application of density similarities to predict membrane protein types based on pseudo-amino acid composition.
abstract: Cell membranes provide integrity of living cells. Although the stability of biological membrane is maintained by the lipid bilayer, membrane proteins perform most of the specific functions such as signal transduction, transmembrane transport, etc. Then it is plausible membrane proteins being attractive drug targets. In this article, based on the concept of using the pseudo-amino acid composition to define a protein, three different density similarities are developed for predicting the membrane protein type. The predicted results showed that the proposed approach can remarkably improve the accuracy, and might become a useful tool for predicting the other attributes of proteins as well.
authors.affiliation: Department of Statistics, Faculty of Science, Shiraz University, Shiraz, Iran.
authors.forename: Abbas
authors.initials: A
authors.lastname: Mahdavi
authors.forename: Samad
authors.initials: S
authors.lastname: Jahandideh
mesh_terms: D000596:Amino Acids / Q000032:analysis*; D019295:Computational Biology / Q000379:methods*; D030562:Databases, Protein; D008565:Membrane Proteins / Q000737:chemistry*
chemical_list: D000596:Amino Acids; D008565:Membrane Proteins