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Critical Reviews™ in Eukaryotic Gene Expression

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ISSN Druckformat: 1045-4403

ISSN Online: 2162-6502

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 1.6 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 2.2 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 0.3 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.00058 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.33 SJR: 0.345 SNIP: 0.46 CiteScore™:: 2.5 H-Index: 67

Indexed in

Decoding the Polyphyletic Flexibility of Allosteric Modular Networks: Progress and Perspectives

Volumen 26, Ausgabe 4, 2016, pp. 279-301
DOI: 10.1615/CritRevEukaryotGeneExpr.2016016649
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ABSTRAKT

Advances in identifying architecture of modules and elucidating their modes of action are gradually improving the decoding of complex relationships between phenotypic robustness and genotypic networks. However, approaches to detecting modules have largely focused on identifying modules in static graphs. In this review, we attempt to reveal the mechanism of polyphyletic architectural transformation based on modular boundary evolutions and different oscillating factors. With the rapid progress in probing into the detailed structural model of modular networks, flexible modular organization manifests a key adaptive balancing ability of allosterically regulating or reconstructing intermodular and intramodular states to uncover the novel biological alterations beyond engineering properties. We conclude by discussing the multipotent functional changes in modular architecture to provide insights into the dynamics of allosteric modular interactive networks and their possible applications for the treatment of diseases.

REFERENZIERT VON
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  2. Zhang Yingying, Zhao Zide, Yu Yanan, Liu Jun, Wang Pengqian, Li Bing, Zhang Xiaoxu, Chen Yinying, Wang Zhong, Mining the Synergistic Core Allosteric Modules Variation and Sequencing Pharmacological Module Drivers in a Preclinical Model of Ischemia, CPT: Pharmacometrics & Systems Pharmacology, 7, 4, 2018. Crossref

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