Enhancing Protein Fold Prediction Accuracy Using New Physicochemical-Based Features And Fusion Of Heterogeneous Classifiers

Dehzangi, Abdollah (2010) Enhancing Protein Fold Prediction Accuracy Using New Physicochemical-Based Features And Fusion Of Heterogeneous Classifiers. Masters thesis, University of Multimedia.

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Abstract

One of the most challenging research areas in the bioinformatics is to predict the tertiary structure of a protein from its amino sequence. Difficulties of this task, such lack of knowledge about the protein structural stability or how the amino acids interact with each other along the amino acid sequence of a protein have made this an open search issue for the bioinformatics and the molecular biology.

Item Type: Thesis (Masters)
Subjects: Q Science > QH Natural history > QH301 Biology
Divisions: Faculty of Computing and Informatics (FCI)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 30 Mar 2012 07:01
Last Modified: 30 Mar 2012 07:01
URI: http://shdl.mmu.edu.my/id/eprint/3461

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