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 …

A computational approach for identifying synergistic drug combinations

KM Gayvert, O Aly, J Platt, MW Bosenberg… - PLoS computational …, 2017 - journals.plos.org
A promising alternative to address the problem of acquired drug resistance is to rely on
combination therapies. Identification of the right combinations is often accomplished through …

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 …

In silico drug combination discovery for personalized cancer therapy

M Jeon, S Kim, S Park, H Lee, J Kang - BMC systems biology, 2018 - Springer
Background Drug combination therapy, which is considered as an alternative to single drug
therapy, can potentially reduce resistance and toxicity, and have synergistic efficacy. As drug …

Drug combination sensitivity scoring facilitates the discovery of synergistic and efficacious drug combinations in cancer

A Malyutina, MM Majumder, W Wang… - PLoS computational …, 2019 - journals.plos.org
High-throughput drug screening has facilitated the discovery of drug combinations in cancer.
Many existing studies adopted a full matrix design, aiming for the characterization of drug …

Artificial intelligence and machine learning methods in predicting anti-cancer drug combination effects

K Fan, L Cheng, L Li - Briefings in bioinformatics, 2021 - academic.oup.com
Drug combinations have exhibited promising therapeutic effects in treating cancer patients
with less toxicity and adverse side effects. However, it is infeasible to experimentally screen …

Integrated network pharmacology approach for drug combination discovery: a multi-cancer case study

A Federico, M Fratello, G Scala, L Möbus, A Pavel… - Cancers, 2022 - mdpi.com
Simple Summary Current treatments for complex diseases, including cancer, are generally
characterized by high toxicity due to their low selectivity for target cells. Moreover, patients …

Systems biology approaches for advancing the discovery of effective drug combinations

KA Ryall, AC Tan - Journal of cheminformatics, 2015 - Springer
Complex diseases like cancer are regulated by large, interconnected networks with many
pathways affecting cell proliferation, invasion, and drug resistance. However, current cancer …

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 …

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 …