Combined Knowledge And Physics Based Approaches Towards Predicting Protein Structures

Proteins are the building block of life. Knowledge of the three dimensional structure of proteins is of fundamental importance in understanding protein function. In this study, a new computational method was developed to predict these structures by combining the knowledge-based homology modeling and...

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Main Author: Khairudin , Nurul Bahiyah Ahmad
Format: Thesis
Language:English
Published: 2009
Subjects:
Online Access:http://eprints.usm.my/41798/
http://eprints.usm.my/41798/1/Nurul_Bahiyah_Ahmad_Khairudin24.pdf
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author Khairudin , Nurul Bahiyah Ahmad
author_facet Khairudin , Nurul Bahiyah Ahmad
author_sort Khairudin , Nurul Bahiyah Ahmad
building USM Institutional Repository
collection Online Access
description Proteins are the building block of life. Knowledge of the three dimensional structure of proteins is of fundamental importance in understanding protein function. In this study, a new computational method was developed to predict these structures by combining the knowledge-based homology modeling and the physics-based molecular dynamics simulation methods. The core region of the protein wasinitially constructed via homology modeling based on sequence similarity with other solved protein templates. Then, the remaining end-terminal regions were allowed to fold towards the core region via MD simulation a few residues at a time. The method was categorized into three parts; the development of the core region of the protein, the development of the complete protein structure and the MD refinement simulation
first_indexed 2025-11-15T17:46:24Z
format Thesis
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institution Universiti Sains Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T17:46:24Z
publishDate 2009
recordtype eprints
repository_type Digital Repository
spelling usm-417982019-04-12T05:26:59Z http://eprints.usm.my/41798/ Combined Knowledge And Physics Based Approaches Towards Predicting Protein Structures Khairudin , Nurul Bahiyah Ahmad RS1-441 Pharmacy and materia medica Proteins are the building block of life. Knowledge of the three dimensional structure of proteins is of fundamental importance in understanding protein function. In this study, a new computational method was developed to predict these structures by combining the knowledge-based homology modeling and the physics-based molecular dynamics simulation methods. The core region of the protein wasinitially constructed via homology modeling based on sequence similarity with other solved protein templates. Then, the remaining end-terminal regions were allowed to fold towards the core region via MD simulation a few residues at a time. The method was categorized into three parts; the development of the core region of the protein, the development of the complete protein structure and the MD refinement simulation 2009-12 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/41798/1/Nurul_Bahiyah_Ahmad_Khairudin24.pdf Khairudin , Nurul Bahiyah Ahmad (2009) Combined Knowledge And Physics Based Approaches Towards Predicting Protein Structures. PhD thesis, Universiti Sains Malaysia.
spellingShingle RS1-441 Pharmacy and materia medica
Khairudin , Nurul Bahiyah Ahmad
Combined Knowledge And Physics Based Approaches Towards Predicting Protein Structures
title Combined Knowledge And Physics Based Approaches Towards Predicting Protein Structures
title_full Combined Knowledge And Physics Based Approaches Towards Predicting Protein Structures
title_fullStr Combined Knowledge And Physics Based Approaches Towards Predicting Protein Structures
title_full_unstemmed Combined Knowledge And Physics Based Approaches Towards Predicting Protein Structures
title_short Combined Knowledge And Physics Based Approaches Towards Predicting Protein Structures
title_sort combined knowledge and physics based approaches towards predicting protein structures
topic RS1-441 Pharmacy and materia medica
url http://eprints.usm.my/41798/
http://eprints.usm.my/41798/1/Nurul_Bahiyah_Ahmad_Khairudin24.pdf