Multiobjective optimization based-approach for discovering novel cancer therapies

IEEE/ACM Transactions on Computational Biology and Bioinformatics

Volumn 9, Issue 1, 2012, Pages 169-184

  Mahoney, Arthur W ^a   Podgorski, Gregory J ^b   Flann, Nicholas S ^a  

^a Utah State University ^*  (United States)

^b UTAH STATE UNIVERSITY   (United States)

Author keywords

angiogenesis; Cancer therapy; cellular Potts model; computational discovery; CPM; GGH; Glazier Graner Hogeweg model; multiobjective optimization; parallel search; VegF

Indexed keywords

ANGIOGENESIS; CANCER THERAPY; CELLULAR POTTS MODELS; COMPUTATIONAL DISCOVERY; CPM; GGH; MULTI OBJECTIVE; PARALLEL SEARCH; VEGF;

BLOOD; BLOOD VESSELS; COMBINATORIAL OPTIMIZATION; COMPUTER SIMULATION; DISEASES; ONCOLOGY; TUMORS;

MULTIOBJECTIVE OPTIMIZATION;

ANGIOGENESIS INHIBITOR; VASCULOTROPIN A; VEGFA PROTEIN, HUMAN;

ALGORITHM; ARTICLE; BIOLOGICAL MODEL; BIOLOGY; COMPUTER SIMULATION; DRUG ANTAGONISM; DRUG DEVELOPMENT; HUMAN; MEDICAL RESEARCH; METHODOLOGY; MONTE CARLO METHOD; NEOPLASM; NEOVASCULARIZATION (PATHOLOGY); ANTAGONISTS AND INHIBITORS; NEOPLASMS; NEOVASCULARIZATION, PATHOLOGIC; PROCEDURES;

ALGORITHMS; ANGIOGENESIS INHIBITORS; BIOMEDICAL RESEARCH; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; DRUG DISCOVERY; HUMANS; MODELS, BIOLOGICAL; MONTE CARLO METHOD; NEOPLASMS; NEOVASCULARIZATION, PATHOLOGIC; VASCULAR ENDOTHELIAL GROWTH FACTOR A;

EID: 81455143753     PISSN: 15455963     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCBB.2010.39     Document Type: Article

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