A New Bliss Independence Model to Analyze Drug Combination Data

• Published in: Journal of biomolecular screening Vol. 19; no. 5; pp. 817 - 821
• Main Authors: Zhao, Wei, Sachsenmeier, Kris, Zhang, Lanju, Sult, Erin, Hollingsworth, Robert E., Yang, Harry
• Format: Journal Article
• Language: English
• Published: United States 01.06.2014
• Subjects: Algorithms; Antineoplastic Agents - chemistry; Carcinoma, Non-Small-Cell Lung - metabolism; Dose-Response Relationship, Drug; Drug Combinations; Drug Interactions; Drug Resistance, Neoplasm; Drug Synergism; Humans; Lung Neoplasms - metabolism; Models, Chemical; Neoplasms - drug therapy; Receptor, Epidermal Growth Factor - chemistry; Receptor, IGF Type 1 - chemistry; Regression Analysis; Signal Transduction; Technology, Pharmaceutical; Bliss independence; drug screening; drug combination

The Bliss independence model is widely used to analyze drug combination data when screening for candidate drug combinations. The method compares the observed combination response (Y(O)) with the predicted combination response (Y(P)), which was obtained based on the assumption that there is no effect...