title: Correlations of amino acids in proteins.
abstract: A correlation analysis among 20 amino acids is performed for four protein structural classes (alpha, beta, alpha/beta, and alpha+beta) in a total of 204 proteins. The correlation relationships among amino acids can be classified into the following four types: (1) strong positive correlation, (2) strong negative correlation, (3) weak correlation, and (4) no correlation. The correlation relationships are different for different proteins and are correlated with the features of their structural classes. The amino acids with the weak correlation relationship can be treated as the independent basis functions for the space where proteins are defined. The amino acids with large correlation coefficients are linear correlative with each other and they are not independent. The strong correlation among amino acids reflects their mutual constrained relationship, as exhibited by their relevant structural features. The information obtained through the correlation analysis is used for predicting protein structural classes and a better prediction quality is obtained than that by the simple geometry distance methods without taking into account the correlation effects.
authors.affiliation: Tianjin Institute of Bioinformatics and Drug Discovery (TIBDD), Tianjin Normal University, 241 Weijin Road, Hexi District, Tianjin 300074, China.
authors.forename: Qishi
authors.initials: Q
authors.lastname: Du
authors.forename: Dongqing
authors.initials: D
authors.lastname: Wei
authors.forename: Kuo-Chen
authors.initials: KC
authors.lastname: Chou
mesh_terms: D000596:Amino Acids / Q000737:chemistry*; D019295:Computational Biology; D008433:Mathematics; D008962:Models, Theoretical; D011487:Protein Conformation; D011506:Proteins / Q000737:chemistry* / Q000145:classification
chemical_list: D000596:Amino Acids; D011506:Proteins