A new precision medicine initiative at the dawn of exascale computing  

作　　者：Ruth Nussinov Hyunbum Jang Guy Nir Chung-Jung Tsai Feixiong Cheng 

机构地区：[1]Computational Structural Biology Section,Frederick National Laboratory for Cancer Research in the Laboratory of Cancer Immunometabolism,National Cancer Institute,Frederick,MD 21702,USA [2]Department of Human Molecular Genetics and Biochemistry,Sackler School of Medicine,Tel Aviv University,Tel Aviv 69978,Israel [3]Department of Genetics,Harvard Medical School,Boston,MA 02115,USA [4]Wyss Institute for Biologically Inspired Engineering,Harvard University,Boston,MA 02115,USA [5]Genomic Medicine Institute,Lerner Research Institute,Cleveland Clinic,Cleveland,OH 44106,USA [6]Department of Molecular Medicine,Cleveland Clinic Lerner College of Medicine,Case Western Reserve University,Cleveland,OH 44195,USA

出　　处：《Signal Transduction and Targeted Therapy》2021年第2期215-222,共8页信号转导与靶向治疗（英文）

基　　金：This project has been funded in whole or in part with federal funds from the National Cancer Institute,National Institutes of Health,under contract HHSN261200800001E;This research was supported[in part]by the Intramural Research Program of NIH,National Cancer Institute,Center for Cancer Research.

摘　　要：Which signaling pathway and protein to selea to mitigate the patient's expected drug resistance?The number of possibilities facing the physician is massive,and the drug combination should fit the patient status.Here,we briefly review current approaches and data and map an innovative patient-specific strategy to forecast drug resistance targets that centers on parallel(or redundant)proliferation pathways in specialized cells.It considers the availability of each protein in each pathway in the specific cell,its activating mutations,and the chromatin accessibility of its encoding gene.The construction of the resulting Proliferation Pathway Network Atlas will harness the emerging exascale computing and advanced artificial intelligence(Al)methods for therapeutic development.Merging the resulting set of targets,pathways,and proteins,with current strategies will augment the choice for the attending physicians to thwart resistance.

关 键 词：COMPUTING ATLAS artificial 

分 类 号：R730.3[医药卫生—肿瘤]