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논문 기본 정보

자료유형
학술저널
저자정보
Chi-Hua Tung (Chung-Hua University) Pei-Wei Shueng (Far Eastern Memorial Hospital) Yen-Wei Chu (Institute of Genomics and Bioinformatics) Chi-Wei Chen (Institute of Genomics and Bioinformatics) Chian-Ying Chen (Institute of Genomics and Bioinformatics)
저널정보
Korean Institute of Information Scientists and Engineers Journal of Computing Science and Engineering Journal of Computing Science and Engineering Vol.11 No.4
발행연도
2017.12
수록면
111 - 120 (10page)
DOI
10.5626/JCSE.2017.11.4.111

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초록· 키워드

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Post-translational modifications (PTMs) of proteins play substantial roles in the gene regulation of cell physiological functions and in the generation of major diseases. However, the majority of existing studies only explored a certain PTM of proteins, while very few have investigated the PTMs of two or more domains and the effects of their interactions. In this study, after collecting data regarding a large number of breast cancer-related and validated PTMs, a sequence and domain analysis of breast cancer proteins was carried out using bioinformatics methods. Then, protein-protein interaction network-related tools were applied in order to determine the crosstalks between the PTMs of the proteins. Finally, statistical and functional analyses were conducted to identify more modification sites of domains and proteins that may interact with at least two or more PTMs. In addition to exploring the associations between the interactive effects of PTMs, the present study also provides important information that would allow biologists to further explore the regulatory pathways of biological functions and related diseases.

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Abstract
I. INTRODUCTION
II. MATERIALS AND METHODS
III. RESULTS AND DISCUSSIONS
IV. CONCLUSIONS
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