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: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
2009
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| Subjects: | |
| Online Access: | http://eprints.usm.my/41798/1/Nurul_Bahiyah_Ahmad_Khairudin24.pdf |
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| Summary: | 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 |
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