Prediction of Synergism from Chemical-Genetic Interactions by Machine Learning.

[1]  T. Dobzhansky,et al.  Genetics of Natural Populations. Xiii. Recombination and Variability in Populations of Drosophila Pseudoobscura. , 1946, Genetics.

[2]  C. Waddington.  The strategy of the genes , 1957 .

[3]  W. Greco,et al.  The search for synergy: a critical review from a response surface perspective. , 1995, Pharmacological reviews.

[4]  L. Hartwell,et al.  Integrating genetic approaches into the discovery of anticancer drugs. , 1997, Science.

[5]  B. Garvik,et al.  Principles for the Buffering of Genetic Variation , 2001, Science.

[6]  Grant W. Brown,et al.  Integration of chemical-genetic and genetic interaction data links bioactive compounds to cellular target pathways , 2004, Nature Biotechnology.

[7]  M. Tyers,et al.  From large networks to small molecules. , 2004, Current opinion in chemical biology.

[8]  Péter Csermely,et al.  The efficiency of multi-target drugs: the network approach might help drug design. , 2004, Trends in pharmacological sciences.

[9]  John P. Overington,et al.  How many drug targets are there? , 2006, Nature Reviews Drug Discovery.

[10]  P. Sorger,et al.  Systems biology and combination therapy in the quest for clinical efficacy , 2006, Nature chemical biology.

[11]  H. Kitano.  A robustness-based approach to systems-oriented drug design , 2007, Nature Reviews Drug Discovery.

[12]  Robert P. St.Onge,et al.  Defining genetic interaction , 2008, Proceedings of the National Academy of Sciences.

[13]  Mike Tyers,et al.  Off-Target Effects of Psychoactive Drugs Revealed by Genome-Wide Assays in Yeast , 2008, PLoS genetics.

[14]  Robert P. St.Onge,et al.  The Chemical Genomic Portrait of Yeast: Uncovering a Phenotype for All Genes , 2008, Science.

[15]  A. Hopkins.  Network pharmacology: the next paradigm in drug discovery. , 2008, Nature chemical biology.

[16]  C. Sander,et al.  Models from experiments: combinatorial drug perturbations of cancer cells , 2008, Molecular systems biology.

[17]  A. Ullrich,et al.  Paul Ehrlich's magic bullet concept: 100 years of progress , 2008, Nature Reviews Cancer.

[18]  Michelle S. Scott,et al.  Chemogenomic profiling predicts antifungal synergies , 2009, Molecular systems biology.

[19]  Joseph Lehar,et al.  Therapeutic selectivity and the multi-node drug target. , 2009, Discovery medicine.

[20]  S. Pu,et al.  Up-to-date catalogues of yeast protein complexes , 2008, Nucleic acids research.

[21]  Michael J. Keiser,et al.  Predicting new molecular targets for known drugs , 2009, Nature.

[22]  Jorge Cortes,et al.  Systems approaches and algorithms for discovery of combinatorial therapies. , 2009, Wiley interdisciplinary reviews. Systems biology and medicine.

[23]  Robin D Dowell,et al.  Genotype to Phenotype: A Complex Problem , 2010, Science.

[24]  Gary D Bader,et al.  The Genetic Landscape of a Cell , 2010, Science.

[25]  Mike Tyers,et al.  Combinations of antibiotics and nonantibiotic drugs enhance antimicrobial efficacy. , 2011, Nature chemical biology.

[26]  Mike Tyers,et al.  Cross-species discovery of syncretic drug combinations that potentiate the antifungal fluconazole , 2011, Molecular systems biology.

[27]  Michael Costanzo,et al.  Systematic exploration of synergistic drug pairs , 2011, Molecular systems biology.

[28]  Mike Tyers,et al.  MolClass: a web portal to interrogate diverse small molecule screen datasets with different computational models , 2012, Bioinform..

[29]  Maria F. Sassano,et al.  Automated design of ligands to polypharmacological profiles , 2012, Nature.

[30]  Peter J. Park,et al.  Systematic Identification of Synergistic Drug Pairs Targeting HIV , 2012, Nature Biotechnology.

[31]  T. Ideker,et al.  Differential network biology , 2012, Molecular systems biology.

[32]  Amy Brock,et al.  Non-Darwinian dynamics in therapy-induced cancer drug resistance , 2013, Nature Communications.

[33]  Charles Boone,et al.  Systems-level antimicrobial drug and drug synergy discovery. , 2013, Nature chemical biology.

[34]  Patrick Aloy,et al.  Analysis of chemical and biological features yields mechanistic insights into drug side effects. , 2013, Chemistry & biology.

[35]  Ben Lehner.  Genotype to phenotype: lessons from model organisms for human genetics , 2013, Nature Reviews Genetics.

[36]  C. Myers,et al.  Unraveling the Biology of a Fungal Meningitis Pathogen Using Chemical Genetics , 2014, Cell.

[37]  M. Rask-Andersen,et al.  The druggable genome: Evaluation of drug targets in clinical trials suggests major shifts in molecular class and indication. , 2014, Annual review of pharmacology and toxicology.

[38]  Yang Xie,et al.  A community computational challenge to predict the activity of pairs of compounds Citation , 2015 .

[39]  Gary D. Bader,et al.  Mapping the Cellular Response to Small Molecules Using Chemogenomic Fitness Signatures , 2014, Science.

[40]  Sridhar Ramaswamy,et al.  Patient-derived models of acquired resistance can identify effective drug combinations for cancer , 2014, Science.

[41]  Matthew B. Taylor,et al.  Higher-order genetic interactions and their contribution to complex traits. , 2015, Trends in genetics : TIG.

[42]  J. Heitman,et al.  An Antifungal Combination Matrix Identifies a Rich Pool of Adjuvant Molecules that Enhance Drug Activity against Diverse Fungal Pathogens. , 2015, Cell reports.

[43]  Christie S. Chang,et al.  The BioGRID interaction database: 2015 update , 2014, Nucleic Acids Res..

[44]  Neville E. Sanjana,et al.  High-throughput functional genomics using CRISPR–Cas9 , 2015, Nature Reviews Genetics.

[45]  Andrei Kucharavy,et al.  Targeting the Adaptability of Heterogeneous Aneuploids , 2015, Cell.

[46]  N. Hawkins,et al.  The evolution of fungicide resistance. , 2015, Advances in applied microbiology.

[47]  David W. Denning,et al.  How to bolster the antifungal pipeline , 2015, Science.

[48]  R. A. KtJNKLE,et al.  Infectious disease. , 2015, Clinical privilege white paper.

[49]  S. Nijman,et al.  Functional genomics to uncover drug mechanism of action. , 2015, Nature chemical biology.

[50]  Anne Mai Wassermann,et al.  Dark chemical matter as a promising starting point for drug lead discovery. , 2015, Nature chemical biology.