Independent drug action in combination therapy: implications for precision oncology
Combination therapies are superior to monotherapy for many cancers. This advantage was
historically ascribed to the ability of combinations to address tumor heterogeneity, but …
historically ascribed to the ability of combinations to address tumor heterogeneity, but …
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] Effective drug combinations in breast, colon and pancreatic cancer cells
P Jaaks, EA Coker, DJ Vis, O Edwards, EF Carpenter… - Nature, 2022 - nature.com
Combinations of anti-cancer drugs can overcome resistance and provide new treatments,.
The number of possible drug combinations vastly exceeds what could be tested clinically …
The number of possible drug combinations vastly exceeds what could be tested clinically …
SynergyFinder plus: toward better interpretation and annotation of drug combination screening datasets
Combinatorial therapies have been recently proposed to improve the efficacy of anticancer
treatment. The SynergyFinder R package is a software used to analyze pre-clinical drug …
treatment. The SynergyFinder R package is a software used to analyze pre-clinical drug …
DeepDDS: deep graph neural network with attention mechanism to predict synergistic drug combinations
Motivation Drug combination therapy has become an increasingly promising method in the
treatment of cancer. However, the number of possible drug combinations is so huge that it is …
treatment of cancer. However, the number of possible drug combinations is so huge that it is …
Patient-specific Boolean models of signalling networks guide personalised treatments
A Montagud, J Béal, L Tobalina, P Traynard… - Elife, 2022 - elifesciences.org
Prostate cancer is the second most occurring cancer in men worldwide. To better
understand the mechanisms of tumorigenesis and possible treatment responses, we …
understand the mechanisms of tumorigenesis and possible treatment responses, we …
Big data in basic and translational cancer research
Historically, the primary focus of cancer research has been molecular and clinical studies of
a few essential pathways and genes. Recent years have seen the rapid accumulation of …
a few essential pathways and genes. Recent years have seen the rapid accumulation of …
A cross-study analysis of drug response prediction in cancer cell lines
To enable personalized cancer treatment, machine learning models have been developed
to predict drug response as a function of tumor and drug features. However, most algorithm …
to predict drug response as a function of tumor and drug features. However, most algorithm …
Multi-way relation-enhanced hypergraph representation learning for anti-cancer drug synergy prediction
Motivation Drug combinations have exhibited promise in treating cancers with less toxicity
and fewer adverse reactions. However, in vitro screening of synergistic drug combinations is …
and fewer adverse reactions. However, in vitro screening of synergistic drug combinations is …
Predicting cancer drug response using parallel heterogeneous graph convolutional networks with neighborhood interactions
Motivation Due to cancer heterogeneity, the therapeutic effect may not be the same when a
cohort of patients of the same cancer type receive the same treatment. The anticancer drug …
cohort of patients of the same cancer type receive the same treatment. The anticancer drug …