[HTML][HTML] Prediction of drug combinations by integrating molecular and pharmacological data

XM Zhao, M Iskar, G Zeller, M Kuhn… - PLoS computational …, 2011 - journals.plos.org
Combinatorial therapy is a promising strategy for combating complex disorders due to
improved efficacy and reduced side effects. However, screening new drug combinations …

[HTML][HTML] Systematic review of computational methods for drug combination prediction

W Kong, G Midena, Y Chen, P Athanasiadis… - Computational and …, 2022 - Elsevier
Synergistic effects between drugs are rare and highly context-dependent and patient-
specific. Hence, there is a need to develop novel approaches to stratify patients for optimal …

Large-scale exploration and analysis of drug combinations

P Li, C Huang, Y Fu, J Wang, Z Wu, J Ru… - …, 2015 - academic.oup.com
Motivation: Drug combinations are a promising strategy for combating complex diseases by
improving the efficacy and reducing corresponding side effects. Currently, a widely studied …

Ensemble prediction of synergistic drug combinations incorporating biological, chemical, pharmacological, and network knowledge

P Ding, R Yin, J Luo, CK Kwoh - IEEE journal of biomedical and …, 2018 - ieeexplore.ieee.org
Combinatorial therapy may reduce drug side effects and improve drug efficacy, making
combination therapy a promising strategy to treat complex diseases. However, in the …

Biomolecular network‐based synergistic drug combination discovery

X Li, G Qin, Q Yang, L Chen… - BioMed research …, 2016 - Wiley Online Library
Drug combination is a powerful and promising approach for complex disease therapy such
as cancer and cardiovascular disease. However, the number of synergistic drug …

Predictive approaches for drug combination discovery in cancer

SA Madani Tonekaboni, L Soltan Ghoraie… - Briefings in …, 2018 - academic.oup.com
Drug combinations have been proposed as a promising therapeutic strategy to overcome
drug resistance and improve efficacy of monotherapy regimens in cancer. This strategy aims …

Machine learning methods, databases and tools for drug combination prediction

L Wu, Y Wen, D Leng, Q Zhang, C Dai… - Briefings in …, 2022 - academic.oup.com
Combination therapy has shown an obvious efficacy on complex diseases and can greatly
reduce the development of drug resistance. However, even with high-throughput screens …

[HTML][HTML] Review of predicting synergistic drug combinations

Y Pan, H Ren, L Lan, Y Li, T Huang - Life, 2023 - mdpi.com
The prediction of drug combinations is of great clinical significance. In many diseases, such
as high blood pressure, diabetes, and stomach ulcers, the simultaneous use of two or more …

Machine learning approaches for drug combination therapies

B Güvenç Paltun, S Kaski… - Briefings in …, 2021 - academic.oup.com
Drug combination therapy is a promising strategy to treat complex diseases such as cancer
and infectious diseases. However, current knowledge of drug combination therapies …

[HTML][HTML] A machine learning method for drug combination prediction

J Li, XY Tong, LD Zhu, HY Zhang - Frontiers in genetics, 2020 - frontiersin.org
Drug combination is now a hot research topic in the pharmaceutical industry, but experiment-
based methodologies are extremely costly in time and money. Many computational methods …