Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/19129
Title: Prediction of dihedral angle regions in tertiary protein structures using neural networks
Authors: Soh, Teng Chye.
Keywords: DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences
Issue Date: 2009
Abstract: In bioinformatics, protein structure prediction is one of the most important goals and research. The three-dimensional structure of proteins is crucial as conformation plays an essential role in the wide ranging biological functions that they perform, hence by predicting and knowing the structure, we will be able to receive information on the function of the protein structure. In this project, we approach tertiary structure prediction by predicting the dihedral angle region, in the goal of constructing the three-dimensional structure without using complicated technique such as X-Ray Crystallography as they are time consuming and expensive. A short introduction to protein structure and protein structure prediction was given, followed by the methods used and discussion of the predicted results. Parameters extracted from Protein Data Bank (PDB) files were passed into a sequence alignment application ‘Lobster’, and then translated into dihedral angles. Various processing on these data with PSI-BLAST and PSIPRED were done, and fed into different neural networks.
URI: http://hdl.handle.net/10356/19129
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
SOH TENG CHYE 09.pdf
  Restricted Access
1.14 MBAdobe PDFView/Open

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.