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Systems approaches and algorithms for discovery of combinatorial therapies
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1 of the 71 references listed on this page is in the Retraction Watch database as retracted (export 2026-11-04): 10.1038/nm1491 (notice 2011-01-07).
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/j.mbs.2008.12.001openalex-snapshotA note on a method for determining advantageous properties of an anti-arrhythmic drug based on a mathematical model of cardiac cells
inferredcites →https://doi.org/10.1038/46995openalex-snapshotThe inverse band-structure problem of finding an atomic configuration with given electronic properties
inferredcites →https://doi.org/10.1038/nbt981openalex-snapshotNanoliter-scale synthesis of arrayed biomaterials and application to human embryonic stem cells
inferredcites →https://doi.org/10.1038/nrd2381openalex-snapshotProteins, drug targets and the mechanisms they control: the simple truth about complex networks
inferredcites →https://doi.org/10.1039/b808649dopenalex-snapshotAdvances in combinatorial and high-throughput screening of biofunctional polymers for gene delivery, tissue engineering and anti-fouling coatings
inferredcites →https://doi.org/10.1039/b815225jopenalex-snapshotIntegrative systems control approach for reactivating Kaposi's sarcoma-associated herpesvirus (KSHV) with combinatory drugs
inferredcites →https://doi.org/10.1128/aac.46.9.2982-2989.2002openalex-snapshotIn Vitro Interaction of Flucytosine Combined with Amphotericin B or Fluconazole against Thirty-Five Yeast Isolates Determined by both the Fractional Inhibitory Concentration Index and the Response Surface Approach
What points at this work
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inferred← citeshttps://doi.org/10.1002/bies.201100144openalex-snapshotScientific discovery as a combinatorial optimisation problem: How best to navigate the landscape of possible experiments?
inferred← citeshttps://doi.org/10.1002/bit.22708openalex-snapshotAdventures in time and space: Nonlinearity and complexity of cytokine effects on stem cell fate decisions
inferred← citeshttps://doi.org/10.1002/psp4.12104openalex-snapshotSystematic Analysis of Quantitative Logic Model Ensembles Predicts Drug Combination Effects on Cell Signaling Networks
inferred← citeshttps://doi.org/10.1002/psp4.12591openalex-snapshotPretomanid dose selection for pulmonary tuberculosis: An application of multi‐objective optimization to dosage regimen design
inferred← citeshttps://doi.org/10.1016/j.canlet.2012.01.039openalex-snapshotDasatinib synergizes with both cytotoxic and signal transduction inhibitors in heterogeneous breast cancer cell lines – Lessons for design of combination targeted therapy
inferred← citeshttps://doi.org/10.1016/j.cnsns.2024.107893openalex-snapshotConstruction of a Waddington-like landscape model that can guide clinical exploration of p53-dynamics-activating parameters in the face of divergent p53 dynamics
inferred← citeshttps://doi.org/10.1038/s41540-019-0085-4openalex-snapshotSynergy from gene expression and network mining (SynGeNet) method predicts synergistic drug combinations for diverse melanoma genomic subtypes
inferred← citeshttps://doi.org/10.1089/cmb.2014.0297openalex-snapshotA Scalable Method for Molecular Network Reconstruction Identifies Properties of Targets and Mutations in Acute Myeloid Leukemia
inferred← citeshttps://doi.org/10.1093/bib/bbab587openalex-snapshotPRODeepSyn: predicting anticancer synergistic drug combinations by embedding cell lines with protein–protein interaction network
inferred← citeshttps://doi.org/10.1109/tbme.2014.2339295openalex-snapshotOptimization of Chemical Fungicide Combinations Targeting the Maize Fungal Pathogen, Bipolaris maydis: A Systematic Quantitative Approach
inferred← citeshttps://doi.org/10.2139/ssrn.5152273openalex-snapshotImagedds: A Multi-Modal Deep Learning Model for Drug Synergy Prediction Using Image and Graph Representation Learning
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