Article

Anticancer Target Combinations: Network-Informed Signaling-Based Approach to Discovery

2024-10-15

Abstract excerpt

While anticancer drug discovery has seen dramatic innovations and successes, sequential single therapies are time-limited by resistance, and combinatorial strategies have been lagging. The number of possible drug combinations is vast. To select drug combinations the oncologist requires knowledge of the optimal combination of proteins to co-target. Currently, combinations that the oncologist considers are primarily...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 85f2d128-7975-51e0-98cf-e43d8de34de9
DOI: 10.1101/2024.10.11.617918

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Anticancer Target Combinations: Network-Informed Signaling-Based Approach to DiscoveryDOI 10.1101/2024.10.11.617918Read

A cancer pharmacogenomic screen powering crowd-sourced advancement of drug combination predictionSemantic proximity Read

Combined kinome inhibition states are predictive of cancer cell line sensitivity to kinase inhibitor combination therapiesSemantic proximity Read

Computational Advancements in Cancer Combination Therapy PredictionSemantic proximity Read

Cancer network activity associated with therapeutic response and synergism.Semantic proximity Read

Methods for High-Throughput Drug Combination Screening and Synergy ScoringSemantic proximity Read

Oncobox Bioinformatical Platform for Selecting Potentially Effective Combinations of Target Cancer Drugs Using High-Throughput Gene Expression DataSemantic proximity Read

Combined Cellular and Biochemical Profiling to Identify Predictive Drug Response Biomarkers for Kinase Inhibitors Approved for Clinical Use between 2013 and 2017Semantic proximity Read

Explainable machine learning prediction of synergistic drug combinations for precision cancer medicineSemantic proximity Read

Diffusion mapping of drug targets on disease signaling network elements reveals drug combination strategies.Semantic proximity Read

Network-based Computational Drug Combination PredictionSemantic proximity Read

Personalized Cancer Therapy Prioritization Based on Driver Alteration Co-occurrence PatternsSemantic proximity Read

A statistical framework for defining synergistic anticancer drug interactionsSemantic proximity Read