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 …
[HTML][HTML] Synergistic drug combinations prediction by integrating pharmacological data
C Zhang, G Yan - Synthetic and systems biotechnology, 2019 - Elsevier
There is compelling evidence that synergistic drug combinations have become promising
strategies for combating complex diseases, and they have evident predominance comparing …
strategies for combating complex diseases, and they have evident predominance comparing …
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 …
and cardiovascular diseases. One of the most important characteristics for drug …
Predicting drug synergy for precision medicine using network biology and machine learning
Identification of effective drug combinations for patients is an expensive and time-consuming
procedure, especially for in vitro experiments. To accelerate the synergistic drug discovery …
procedure, especially for in vitro experiments. To accelerate the synergistic drug discovery …
Discovering synergistic drug combination from a computational perspective
Synergistic drug combinations play an important role in the treatment of complex diseases.
The identification of effective drug combination is vital to further reduce the side effects and …
The identification of effective drug combination is vital to further reduce the side effects and …
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 …
A review of machine learning approaches for drug synergy prediction in cancer
A Torkamannia, Y Omidi… - Briefings in Bioinformatics, 2022 - academic.oup.com
Combinational pharmacotherapy with the synergistic/additive effect is a powerful treatment
strategy for complex diseases such as malignancies. Identifying synergistic combinations …
strategy for complex diseases such as malignancies. Identifying synergistic combinations …
Prediction of synergistic anti-cancer drug combinations based on drug target network and drug induced gene expression profiles
Objective Synergistic drug combinations are promising therapies for cancer treatment.
However, effective prediction of synergistic drug combinations is quite challenging as …
However, effective prediction of synergistic drug combinations is quite challenging as …
Neighbor communities in drug combination networks characterize synergistic effect
J Zou, P Ji, YL Zhao, LL Li, YQ Wei, YZ Chen… - Molecular …, 2012 - pubs.rsc.org
Combination therapies are urgently needed for optimal clinical benefit, but an efficient
strategy for rational discovery of drug combinations, especially combinations of experimental …
strategy for rational discovery of drug combinations, especially combinations of experimental …
PermuteDDS: a permutable feature fusion network for drug-drug synergy prediction
X Zhao, J Xu, Y Shui, M Xu, J Hu, X Liu, K Che… - Journal of …, 2024 - Springer
Motivation Drug combination therapies have shown promise in clinical cancer treatments.
However, it is hard to experimentally identify all drug combinations for synergistic interaction …
However, it is hard to experimentally identify all drug combinations for synergistic interaction …