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Prediction of protein interactions by bioinformatics and physical chemistry approaches : 생물정보학과 물리화학적 접근법을 통한 단백질 상호작용 예측
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- Authors
- Advisor
- 석차옥
- Major
- 자연과학대학 화학부
- Issue Date
- 2016-02
- Publisher
- 서울대학교 대학원
- Keywords
- homo-oligoemr interactions ; protein-peptide interactions ; protein-protein interactions ; bioinformatics ; physical chemistry ; global optimization
- Description
- 학위논문 (박사)-- 서울대학교 대학원 : 화학부 물리화학 전공, 2016. 2. 석차옥.
- Abstract
- Proteins play key roles in many biological systems through protein interactions. Research of protein interactions can help to understand protein functions and develop new drugs. Protein interactions can be classified into homo-oligomer interactions, protein-peptide interactions, and protein-protein interactions. Protein interactions can be studied based on co-crystallized complex structure determined by X-ray crystallography or Nucleic Magnetic Resonance method, but experimentally determined structures cover only small part of the known protein- protein interactions. Therefore, there are many interests to develop computational methods for predicting protein interactions. Predicting protein interactions can be classified into methods based on bioinformatics and physical chemistry approaches. According to bioinformatics approaches, proteins with high sequence similarity convey similar interfaces and similar interactions. According to physical chemistry approaches, the funnel-like energy landscape is a general feature of protein interactions and protein interactions can be predicted by a global optimization method. In this thesis, I show bioinformatics and physical chemistry approaches for predicting homo-oligomer interactions, protein-peptide interactions, and protein- protein interactions. Both bioinformatics approaches and physical chemistry approaches played important roles to achieve improvement in predicting protein interactions.
- Language
- English
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