A computational strategy to select optimized protein targets for drug development toward the control of cancer diseases

PLoS ONE

Volumn 10, Issue 1, 2015, Pages

  Carels, Nicolas ^a   Tilli, Tatiana ^a   Tuszynski, Jack A ^b  

^a National Institute of Science and Technology for Innovation in Neglected Diseases   (Brazil)

^b UNIVERSITY OF ALBERTA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ACTIN; CSNK2B PROTEIN; EPIDERMAL GROWTH FACTOR RECEPTOR 2; GABARAP PROTEIN; GABARAPL2 PROTEIN; GLYCERALDEHYDE 3 PHOSPHATE DEHYDROGENASE; GROWTH FACTOR RECEPTOR BOUND PROTEIN 2; HER3 PROTEIN; HSPAS PROTEIN; MAP1LC3A PROTEIN; NFKBIA PROTEIN; PA2G4 PROTEIN; PROTEIN; UNCLASSIFIED DRUG; VIM PROTEIN; YWHAB PROTEIN; ANTINEOPLASTIC AGENT;

ARTICLE; BREAST CANCER; BREAST CANCER CELL LINE; CANCER CHEMOTHERAPY; CANCER CONTROL; CONTROLLED STUDY; DOWN REGULATION; FEMALE; GENE EXPRESSION; GENE INTERACTION; GENE REGULATORY NETWORK; HUMAN; HUMAN CELL; INTEGRATIVE NETWORK ANALYSIS; MOLECULAR BIOLOGY; PROTEIN INTERACTION; PROTEIN TARGETING; SIGNAL TRANSDUCTION; UPREGULATION; BIOLOGICAL MODEL; COMPUTER SIMULATION; DRUG SCREENING; MOLECULARLY TARGETED THERAPY; NEOPLASMS; PROCEDURES; TUMOR CELL LINE;

ANTINEOPLASTIC AGENTS; CELL LINE, TUMOR; COMPUTER SIMULATION; DRUG SCREENING ASSAYS, ANTITUMOR; HUMANS; MODELS, BIOLOGICAL; MOLECULAR TARGETED THERAPY; NEOPLASMS;

EID: 84922042345     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0115054     Document Type: Article

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