Analysis of domain interactions among gamma-secretase substrates
The γ-secretase plays a key role in the Amyloid hypothesis of the cause of Alzheimers disease. The integral membrane protein cleaves single-pass transmembrane proteins at residues within the transmembrane domain. In this work, we proposed a new model to analyze the relationships among the identified substrates of γ-secretase at the domain level. Firstly the sequence features in domains of γ-secretase and its substrates are identified respectively. Based on the correlation analysis, we classified the domains of the related substrates into several groups according to their similarities. Then, we revealed the relationships between γ-secretase and its substrates in an interaction model and identified the sequence signatures of the domain clusters. What we found can be regarded as the interaction markers with γ-secretase. The domain features with the sequence signatures can be used not only to decipher the interaction mechanisms between the γ-secretase and their corresponding substrates but also to predict new protein-protein interactions related to γ-secretase.
γ-secretase protein interaction domain interaction systems biology Alzheimers disease.
Zhi-Ping Liu Weiming Xia Luonan Chen
Institute of Applied Mathematics, Academy of Mathematics and Systems Science, Chinese Academy of Sci Center for Neurologic Diseases, Brigham and Womens Hospital, Harvard Medical School, Boston, Massac Department of Electronics, Information and Communication Engineering Osaka Sangyo University, Osaka
国际会议
The Second International Symposium(OSB08)(第二届国际优化及系统生物学学术会议)
云南丽江
英文
232-241
2008-10-31（万方平台首次上网日期，不代表论文的发表时间）