ArticleCPT: pharmacometrics & systems pharmacology2016
Systematic Analysis of Quantitative Logic Model Ensembles Predicts Drug Combination Effects on Cell Signaling Networks.
Article in CPT: pharmacometrics & systems pharmacology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 36 citations in OpenAlex.
- SynergyImage: image-based model for drug combinations synergy score prediction.BMC bioinformatics · 2025Article
- Heterogeneous entity representation for medicinal synergy prediction.Bioinformatics (Oxford, England) · 2024Article
- PermuteDDS: a permutable feature fusion network for drug-drug synergy prediction.Journal of cheminformatics · 2024Article
- Review of Predicting Synergistic Drug Combinations.Life (Basel, Switzerland) · 2023Review
- A hybrid deep forest-based method for predicting synergistic drug combinations.Cell reports methods · 2023Article
- Machine learning methods, databases and tools for drug combination prediction.Briefings in bioinformatics · 2022Article
- Machine learning in the prediction of cancer therapy.Computational and structural biotechnology journal · 2021Review
- Screening for Combination Cancer Therapies With Dynamic Fuzzy Modeling and Multi-Objective Optimization.Frontiers in genetics · 2021Article
- [Synergistic drug combination prediction in multi-input neural network].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2020Article
- High-throughput screening reveals higher synergistic effect of MEK inhibitor combinations in colon cancer spheroids.Scientific reports · 2020Article
- Fuzzy modeling and global optimization to predict novel therapeutic targets in cancer cells.Bioinformatics (Oxford, England) · 2020Article
- A high-throughput drug combination screen of targeted small molecule inhibitors in cancer cell lines.Scientific data · 2019Article
- How Do We "Validate" a QSP Model?CPT: pharmacometrics & systems pharmacology · 2018Article
- Systems modelling of the EGFR-PYK2-c-Met interaction network predicts and prioritizes synergistic drug combinations for triple-negative breast cancer.PLoS computational biology · 2018Article
- DeepSynergy: predicting anti-cancer drug synergy with Deep Learning.Bioinformatics (Oxford, England) · 2018Article
- Logic Modeling in Quantitative Systems Pharmacology.CPT: pharmacometrics & systems pharmacology · 2017Article
- Looking beyond the cancer cell for effective drug combinations.Genome medicine · 2016Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A major challenge in developing anticancer therapies is determining the efficacies of drugs and their combinations in physiologically relevant microenvironments. We describe here our application of "constrained fuzzy logic" (CFL) ensemble modeling of the intracellular signaling network for predicting inhibitor treatments that reduce the phospho-levels of key transcription factors downstream of growth factors and inflammatory cytokines representative of hepatocellular carcinoma (HCC) microenvironments. We observed that the CFL models successfully predicted the effects of several kinase inhibitor combinations. Furthermore, the ensemble predictions revealed ambiguous predictions that could be traced to a specific structural feature of these models, which we resolved with dedicated experiments, finding that IL-1α activates downstream signals through TAK1 and not MEKK1 in HepG2 cells. We conclude that CFL-Q2LM (Querying Quantitative Logic Models) is a promising approach for predicting effective anticancer drug combinations in cancer-relevant microenvironments.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.