ArticleMolecular systems biology2008
High-order combination effects and biological robustness.
Article in Molecular systems biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 1 of them a synthesis that pooled it.
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Who cites it
46 citing papers in PubMed, 1 synthesis or guideline pooled it.
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- Response envelope analysis for quantitative evaluation of drug combinations.Bioinformatics (Oxford, England) · 2019Article
- Diagonal Method to Measure Synergy Among Any Number of Drugs.Journal of visualized experiments : JoVE · 2018Article
- Evaluation of drug combination effect using a Bliss independence dose-response surface model.Statistics in biopharmaceutical research · 2018Article
- Modeling of the jasmonate signaling pathway in Arabidopsis thaliana with respect to pathophysiology of Alternaria blight in Brassica.Scientific reports · 2017Article
- Niche harmony search algorithm for detecting complex disease associated high-order SNP combinations.Scientific reports · 2017Article
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- Prediction of multidimensional drug dose responses based on measurements of drug pairs.Proceedings of the National Academy of Sciences of the United States of America · 2016Article
- Cancer network activity associated with therapeutic response and synergism.Genome medicine · 2016Article
- NLLSS: Predicting Synergistic Drug Combinations Based on Semi-supervised Learning.PLoS computational biology · 2016Article
- Systems Pharmacology and Rational Polypharmacy: Nitric Oxide-Cyclic GMP Signaling Pathway as an Illustrative Example and Derivation of the General Case.PLoS computational biology · 2016Article
- Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Biological systems are robust, in that they can maintain stable phenotypes under varying conditions or attacks. Biological systems are also complex, being organized into many functional modules that communicate through interlocking pathways and feedback mechanisms. In these systems, robustness and complexity are linked because both qualities arise from the same underlying mechanisms. When perturbed by multiple attacks, such complex systems become fragile in both theoretical and experimental studies, and this fragility depends on the number of agents applied. We explore how this relationship can be used to study the functional robustness of a biological system using systematic high-order combination experiments. This presents a promising approach toward many biomedical and bioengineering challenges. For example, high-order experiments could determine the point of fragility for pathogenic bacteria and might help identify optimal treatments against multi-drug resistance. Such studies would also reinforce the growing appreciation that biological systems are best manipulated not by targeting a single protein, but by modulating the set of many nodes that can selectively control a system's functional state.
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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 OpenQuestion graph.