Data mining and knowledge discovery from membrane proteins

Author

Yang, Jack Y. ; Qu Yang, M. ; Ersoy, Okan K.

Author_Institution

Harvard Med. Sch., Harvard Univ., Boston, MA

fYear

0

fDate

0-0 0

Abstract

Many of the central questions in bioinformatics relate to protein structure and function. We are mainly be concerned with three problems: identifying transmembrane segments in proteins, distinguishing disordered from ordered regions, and determining protein function from sequence information. In order to deal effectively with these problems, we have conducted an in-depth analyses of the physiochemical properties of the amino acids that make up proteins and the amino acid compositions of the various types of proteins. We approach the above questions from a machine learning perspective

Keywords

biology computing; biomembranes; data mining; learning (artificial intelligence); proteins; amino acid compositions; bioinformatics; computational intelligence; data mining; intrinsic unstructured proteins; knowledge discovery; machine learning; membrane proteins; protein function; protein structure; transmembrane segments; Amino acids; Bioinformatics; Biomembranes; Computational intelligence; Data mining; Machine learning; Neurons; Protein engineering; Sequences; USA Councils; Computational Intelligence; Membrane proteins; classification and knowledge discovery; data mining and computational intelligence; ensemble methods; intrinsic unstructured proteins; machine learning; prediction; protein function;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence Methods and Applications, 2005 ICSC Congress on

Conference_Location

Istanbul

Print_ISBN

1-4244-0020-1

Type

conf

DOI

10.1109/CIMA.2005.1662360

Filename

1662360