Classification and clustering analysis of pyruvate dehydrogenase enzyme based on their physicochemical properties.

ABSTRACT: Biological systems are highly organized and enormously coordinated maintaining greater complexity. The increment of secondary data generation and progress of modern mining techniques provided us an opportunity to discover hidden intra and inter relations among these non linear dataset. This will help in understanding the complex biological phenomenon with greater efficiency. In this paper we report comparative classification of Pyruvate Dehydrogenase protein sequences from bacterial sources based on 28 different physicochemical parameters (such as bulkiness, hydrophobicity, total positively and negatively charged residues, α helices, β strand etc.) and 20 type amino acid compositions. Logistic, MLP (Multi Layer Perceptron), SMO (Sequential Minimal Optimization), RBFN (Radial Basis Function

SUBMITTER: Banerjee AK 

PROVIDER: S-EPMC2951700 | biostudies-literature | 2010 Apr

REPOSITORIES: biostudies-literature