QuaBingo: A Prediction System for Protein Quaternary Structure Attributes Using Block Composition.

ABSTRACT: Background. Quaternary structures of proteins are closely relevant to gene regulation, signal transduction, and many other biological functions of proteins. In the current study, a new method based on protein-conserved motif composition in block format for feature extraction is proposed, which is termed block composition. Results. The protein quaternary assembly states prediction system which combines blocks with functional domain composition, called QuaBingo, is constructed by three layers of classifiers that can categorize quaternary structural attributes of monomer, homooligomer, and heterooligomer. The building of the first layer classifier uses support vector machines (SVM) based on blocks and functional domains of proteins, and the second layer SVM was utilized to process the outputs

SUBMITTER: Tung CH 

PROVIDER: S-EPMC5005774 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature