Network-based prediction of drug combinations
Nature Communications, 2019 Combination therapy holds great promise, but discovery remains challenging. Here, the authors propose a method to identify efficacious drug combinations for specific diseases, and find that successful combinations tend to target separate neighbourhoods ...
Feixiong Cheng +2 more
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NLLSS: Predicting Synergistic Drug Combinations Based on Semi-supervised Learning. [PDF]
PLoS Computational Biology, 2016 Fungal infection has become one of the leading causes of hospital-acquired infections with high mortality rates. Furthermore, drug resistance is common for fungus-causing diseases.
Xing Chen +5 more
doaj +2 more sources
Synergistic and antagonistic drug combinations depend on network topology. [PDF]
PLoS ONE, 2014 Drug combinations may exhibit synergistic or antagonistic effects. Rational design of synergistic drug combinations remains a challenge despite active experimental and computational efforts.
Ning Yin +5 more
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Network-based prediction of anti-cancer drug combinations [PDF]
Frontiers in PharmacologyDrug combinations have emerged as a promising therapeutic approach in cancer treatment, aimed at overcoming drug resistance and improving the efficacy of monotherapy regimens.
Jue Jiang +4 more
doaj +2 more sources
Guided screen for synergistic three-drug combinations.
PLoS ONE, 2020 Combinations of three or more drugs are routinely used in various medical fields such as clinical oncology and infectious diseases to prevent resistance or to achieve synergistic therapeutic benefits.
Melike Cokol-Cakmak +4 more
doaj +2 more sources
Leishmania donovani develops resistance to drug combinations. [PDF]
PLoS Neglected Tropical Diseases, 2012 Drug combinations for the treatment of leishmaniasis represent a promising and challenging chemotherapeutic strategy that has recently been implemented in different endemic areas.
Raquel García-Hernández +3 more
doaj +2 more sources
Prediction of drug combinations by integrating molecular and pharmacological data. [PDF]
PLoS Computational Biology, 2011 Combinatorial therapy is a promising strategy for combating complex disorders due to improved efficacy and reduced side effects. However, screening new drug combinations exhaustively is impractical considering all possible combinations between drugs ...
Xing-Ming Zhao +6 more
doaj +2 more sources
New In Vitro-In Silico Approach for the Prediction of In Vivo Performance of Drug Combinations [PDF]
, 2021 Pharmacokinetic (PK) studies improve the design of dosing regimens in preclinical and clinical settings. In complex diseases like cancer, single-agent approaches are often insufficient for an effective treatment, and drug combination therapies can be ...
Cristiana Correia +13 more
core +1 more source
Potential Drug Dose-Specific Adverse Three-Drug Combinations: A US Insurance Claims Data-Based Study. [PDF]
Pharmacoepidemiol Drug SafIntroduction: Use of three-drug combinations is increasingly prevalent and associated with an increased risk of adverse drug events (ADEs). While real-world data-based pharmacovigilance and pharmacoepidemiology studies have derived knowledge on potential
Shi Y +12 more
europepmc +2 more sources
Hidden suppressive interactions are common in higher-order drug combinations
, 2021 The rapid increase of multi-drug resistant bacteria has led to a greater emphasis on multi-drug combination treatments. However, some combinations can be suppressive—that is, bacteria grow faster in some drug combinations than when treated with a single ...
Lozano-Huntelman, N
core +2 more sources