[HTML][HTML] The drug cocktail network

KJ Xu, J Song, XM Zhao - BMC systems biology, 2012 - Springer
Background Combination of different agents is widely used in clinic to combat complex
diseases with improved therapy and reduced side effects. However, the identification of …

DCDB: drug combination database

Y Liu, B Hu, C Fu, X Chen - Bioinformatics, 2010 - academic.oup.com
Rapid advances in pharmaceutical sciences have brought ever-increasing interests in
combined therapies for better clinical efficacy and safety, especially in cases of complicated …

[HTML][HTML] Recent advances in combinatorial drug screening and synergy scoring

T Pemovska, JW Bigenzahn, G Superti-Furga - Current opinion in …, 2018 - Elsevier
Highlights•Currently a vast heterogeneity in synergistic drug action scoring and analysis
exists.•Novel cellular models offer robust ways to identify relevant combination …

[HTML][HTML] Towards structural systems pharmacology to study complex diseases and personalized medicine

L Xie, X Ge, H Tan, L Xie, Y Zhang, T Hart… - PLoS computational …, 2014 - journals.plos.org
Genome-Wide Association Studies (GWAS), whole genome sequencing, and high-
throughput omics techniques have generated vast amounts of genotypic and molecular …

Improving the efficacy-safety balance of polypharmacology in multi-target drug discovery

B Ravikumar, T Aittokallio - Expert opinion on drug discovery, 2018 - Taylor & Francis
Introduction: Polypharmacology has emerged as an essential paradigm for modern drug
discovery process. Multiple lines of evidence suggest that agents capable of modulating …

[HTML][HTML] Modularity in protein complex and drug interactions reveals new polypharmacological properties

JC Nacher, JM Schwartz - PloS one, 2012 - journals.plos.org
Recent studies have highlighted the importance of interconnectivity in a large range of
molecular and human disease-related systems. Network medicine has emerged as a new …

Driver network as a biomarker: systematic integration and network modeling of multi-omics data to derive driver signaling pathways for drug combination prediction

L Huang, D Brunell, C Stephan, J Mancuso, X Yu… - …, 2019 - academic.oup.com
Motivation Drug combinations that simultaneously suppress multiple cancer driver signaling
pathways increase therapeutic options and may reduce drug resistance. We have …

Synergy evaluation by a pathway–pathway interaction network: a new way to predict drug combination

D Chen, H Zhang, P Lu, X Liu, H Cao - Molecular BioSystems, 2016 - pubs.rsc.org
Drug combinations have been widely applied to treat complex diseases, like cancer, HIV
and cardiovascular diseases. One of the most important characteristics for drug …

Integrative genomics and drug development

PY Lum, JMJ Derry, EE Schadt - 2009 - Taylor & Francis
The pharmaceutical industry faces unprecedented pressures based largely on the inability
to bring sufficient new medicines to market. The high failure rate of drug candidates in …

Medicinal polypharmacology: Exploration and exploitation of the polypharmacolome in modern drug development

SM Stefan, M Rafehi - Drug Development Research, 2024 - Wiley Online Library
At the core of complex and multifactorial human diseases, such as cancer, metabolic
syndrome, or neurodegeneration, are multiple players that cross‐talk in robust biological …