Systematic discovery of multicomponent therapeutics

By A. Borisy, P. Elliott, Nicole W Hurst, Margaret S. Lee, Joseph Lehá, E. Price, G. Serbedzija, G. Zimmermann, M. Foley, Brent R. Stockwell and 2 more. Proceedings of the National Academy of Sciences of the United States of America, 2003

610 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Molecular Biology, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/3f84d9234bedd2b9895af221c927f668f8b68542

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Theory and Mathematics

In Molecular Biology

In Radiology, Nuclear Medicine and Imaging

Citations in the corpus

Exploring genetic interactions and networks with yeast (2007, background): “In fact, it is well established that combinations of molecules can provide highly effective drug regimen”
The efficiency of multi-target drugs: the network approach might help drug design. (2004, background): “Furthermore, combinatorial therapy, which represents another form of multi-target drugs, is used increasingly to treat many types of diseases, such as AIDS, cancer and atherosclerosis [3-5].”
A community computational challenge to predict the activity of pairs of compounds (2014, methodology): “To compute the synergy for each pair, we calculated the excess over Bliss score for each of the 16 experiments and took the average of 16 scores as the synergy score for the compound pair. n p g”
Network target for screening synergistic drug combinations with application to traditional Chinese medicine (2011, background): “Therefore, although some experimental methods have been launched to screen favourable drug combinations by disease-relevant phenotypic assays [ 8 ], the highthroughput identification of synergistic agent combinations arising from numerous agents remains an unresolved issue [9].”
Analysis of drug combinations: current methodological landscape (2015, methodology): “2013) but do not mention how methods are implemented (Raffa et al. 2000; Borisy et al. 2003; Leh ar et al. 2007, 2009; Cokol et al. 2011).”
Systems biology and combination therapy in the quest for clinical efficacy (2006, background): “High-throughput screening of drug pairs has sought to systematize and extend the empirical approach as a means of identifying new combination drug”
Systematic prediction of drug combinations based on clinical side-effects (2014, methodology): “Several methods have been developed to predict drug-drug interactions (DDIs) based on text mining 36,37 , network modeling 38 , high-throughput screening 9 , and other data integrative approaches 13 .”
Structure and dynamics of molecular networks: A novel paradigm of drug discovery: A comprehensive review (2012, background): “Experimental testing of drug-drug interactions may be used to infer the underlying molecular network structure, and as drug-drug interaction networks (Borisy et al., 2003; Yeh et al., 2006; Lehár et al., 2007; Jia et al., 2009) may be used to predict additional drug-drug interactions using network m”
Searching for Drug Synergy in Complex Dose–Response Landscapes Using an Interaction Potency Model (2015, background): “With high-throughput techniques, it has become possible to systematically evaluate the pairwise combinations from a large collections of both approved and investigational chemical compounds [4].”
Network pharmacology: the next paradigm in drug discovery. (2008, methodology): “Likewise, systematic combination screening of approximately 1,000 US Food and Drug Administration (FDA)-approved drugs required the use of high-throughput screening methods to assay the massive data matrix required for the factorial isobolgram analysis of each combination through the full dose rang”