Prediction of dihedral angle regions in tertiary protein structures using neural networks

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, w...

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Main Author: Soh, Teng Chye.
Other Authors: Tan Ching Wai
Format: Final Year Project
Language:English
Published: 2009
Subjects:
Online Access:http://hdl.handle.net/10356/19129
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-191292023-03-03T20:40:48Z Prediction of dihedral angle regions in tertiary protein structures using neural networks Soh, Teng Chye. Tan Ching Wai School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences 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. Bachelor of Engineering (Computer Science) 2009-10-22T02:31:36Z 2009-10-22T02:31:36Z 2009 2009 Final Year Project (FYP) http://hdl.handle.net/10356/19129 en Nanyang Technological University 63 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences
spellingShingle DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences
Soh, Teng Chye.
Prediction of dihedral angle regions in tertiary protein structures using neural networks
description 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.
author2 Tan Ching Wai
author_facet Tan Ching Wai
Soh, Teng Chye.
format Final Year Project
author Soh, Teng Chye.
author_sort Soh, Teng Chye.
title Prediction of dihedral angle regions in tertiary protein structures using neural networks
title_short Prediction of dihedral angle regions in tertiary protein structures using neural networks
title_full Prediction of dihedral angle regions in tertiary protein structures using neural networks
title_fullStr Prediction of dihedral angle regions in tertiary protein structures using neural networks
title_full_unstemmed Prediction of dihedral angle regions in tertiary protein structures using neural networks
title_sort prediction of dihedral angle regions in tertiary protein structures using neural networks
publishDate 2009
url http://hdl.handle.net/10356/19129
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