Network-based anticancer drug-repositioning considering perturbation by mutations and new drug targets = 유전자 돌연변이에 의한 네트워크 변동과 새로운 약물 타겟을 고려한 항암 약물 재창출 연구

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Despite of massive progress in drug discovery field, cancer incidence and mortality rates have not decreased yet. In this situation, in-silico based drug repositioning is getting a spotlight because of relatively slow development in conventional anticancer drug discovery field. In this research, we predicted drugs that show new anticancer effects different from known original effects. To do this, we constructed protein-protein interaction networks that are perturbed by mutated proteins and find neighbors of mutated ones which reflect cancer states. We prioritized drugs using a score function and searched literature evidences for our repositioned drug candidates. In result, performance of drug prediction (AUROC with ranked answer drugs) is better than previous works. In addition, we propose new drug targets that are more important in cancer and not in normal using network propagation algorithm. Through this, we expect that we can find drugs with higher sensitivity and lower resistance.
Advisors
Lee, Doheonresearcher이도헌researcher
Description
한국과학기술원 :바이오및뇌공학과,
Publisher
한국과학기술원
Issue Date
2018
Identifier
325007
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 바이오및뇌공학과, 2018.2,[iv, 51 p. :]

Keywords

Drug repositioning▼amutation▼aperturbed protein-protein interaction▼anetwork propagation; 약물 재창출▼a유전자 돌연변이▼a암 특이적 단백질 상호작용▼a네트워크 전파

URI
http://hdl.handle.net/10203/266177
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=733814&flag=dissertation
Appears in Collection
BiS-Theses_Master(석사논문)
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