[HTML][HTML] Prediction of drug combinations by integrating molecular and pharmacological data
Combinatorial therapy is a promising strategy for combating complex disorders due to
improved efficacy and reduced side effects. However, screening new drug combinations …
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 …
specific. Hence, there is a need to develop novel approaches to stratify patients for optimal …
Large-scale exploration and analysis of drug combinations
Motivation: Drug combinations are a promising strategy for combating complex diseases by
improving the efficacy and reducing corresponding side effects. Currently, a widely studied …
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
Combinatorial therapy may reduce drug side effects and improve drug efficacy, making
combination therapy a promising strategy to treat complex diseases. However, in the …
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 …
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 …
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 …
reduce the development of drug resistance. However, even with high-throughput screens …
[HTML][HTML] Review of predicting synergistic drug combinations
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 …
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 …
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 …
based methodologies are extremely costly in time and money. Many computational methods …