ArticlePloS one2016
Quantitative Determination of Flexible Pharmacological Mechanisms Based On Topological Variation in Mice Anti-Ischemic Modular Networks.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Identifying Qingkailing ingredients-dependent mesenchymal-epithelial transition factor-axiation "π" structuring module with angiogenesis and neurogenesis effects.Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan · 2024Article
- Modular networks and genomic variation during progression from stable angina pectoris through ischemic cardiomyopathy to chronic heart failure.Molecular medicine (Cambridge, Mass.) · 2022Article
- Revealing the Modular Similarities and Differences Among Alzheimer's Disease, Vascular Dementia, and Parkinson's Disease in Genomic Networks.Neuromolecular medicine · 2022Article
- Met-Controlled Allosteric Module of Neural Generation as A New Therapeutic Target in Rodent Brain Ischemia.Chinese journal of integrative medicine · 2021Article
- Prediction of hepatocellular carcinoma risk in patients with chronic liver disease from dynamic modular networks.Journal of translational medicine · 2021Article
- Genome Analysis Reveals a Synergistic Mechanism of Ursodeoxycholic Acid and Jasminoidin in Mice Brain Repair After Ischemia/Reperfusion: Crosstalk Among Muti-Pathways.Frontiers in pharmacology · 2019Article
- Mining the Synergistic Core Allosteric Modules Variation and Sequencing Pharmacological Module Drivers in a Preclinical Model of Ischemia.CPT: pharmacometrics & systems pharmacology · 2018Article
- Network-Wide Screen Identifies Variation of Novel Precise On-Module Targets Using Conformational Modudaoism.CPT: pharmacometrics & systems pharmacology · 2018Article
- Entropy-based divergent and convergent modular pattern reveals additive and synergistic anticerebral ischemia mechanisms.Experimental biology and medicine (Maywood, N.J.) · 2016Article
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Authors and funding
10 authors.
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Abstract
Targeting modules or signalings may open a new path to understanding the complex pharmacological mechanisms of reversing disease processes. However, determining how to quantify the structural alteration of these signalings or modules in pharmacological networks poses a great challenge towards realizing rational drug use in clinical medicine. Here, we explore a novel approach for dynamic comparative and quantitative analysis of the topological structural variation of modules in molecular networks, proposing the concept of allosteric modules (AMs). Based on the ischemic brain of mice, we optimize module distribution in different compound-dependent modular networks by using the minimum entropy criterion and then calculate the variation in similarity values of AMs under various conditions using a novel method of SimiNEF. The diverse pharmacological dynamic stereo-scrolls of AMs with functional gradient alteration, which consist of five types of AMs, may robustly deconstruct modular networks under the same ischemic conditions. The concept of AMs can not only integrate the responsive mechanisms of different compounds based on topological cascading variation but also obtain valuable structural information about disease and pharmacological networks beyond pathway analysis. We thereby provide a new systemic quantitative strategy for rationally determining pharmacological mechanisms of altered modular networks based on topological variation.
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