Drug effect prediction based on phosphoprotein interactions = 인산화단백질 상호작용 기반 약물 효과 예측

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Drug effect prediction requires understanding of protein functions and interactions, and protein interactions are affected by cell types and post-translational modification, namely phosphorylation. A specific post-translationally modified form of protein product is called a proteoform and should be distinguished from other proteoforms arising from the same protein. A cell line-specific and retinoic acid treatment-specific protein-protein interaction network was constructed by integrating the traditional protein-protein interaction information and proteoform information and experimental transcriptome and phosphoproteome profiles for two breast cancer cell lines MCF-7 (retinoic acid-sensitive) and BT-474 (retinoic acid-resistant) each before and after treatment. The effect of retinoic acid was computed from measuring the shortest path length from the drug targets to the sample-specific network comparing the length before and after the treatment. Despite the lack of statistical significance, the decrease of the average shortest path length to MCF-7-specific proteins may reflect the sample-specific proteins to be affected in favor of retinoic acid treatment compared to that of BT-474-specific proteins.
Advisors
Lee, Doheonresearcher이도헌researcher
Description
한국과학기술원 :바이오및뇌공학과,
Publisher
한국과학기술원
Issue Date
2019
Identifier
325007
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 바이오및뇌공학과, 2019.2,[iv, 51 p. :]

Keywords

post-translational modification▼aphosphoprotein▼aprotein-protein interaction▼anetwork biology▼adrug effect prediction; 전사 후 수정▼a인산화단백질▼a단백질 상호작용▼a네트워크 생물학▼a약물 효과 예측

URI
http://hdl.handle.net/10203/266178
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=843109&flag=dissertation
Appears in Collection
BiS-Theses_Master(석사논문)
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