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Critical Reviews™ in Eukaryotic Gene Expression

Published 6 issues per year

ISSN Print: 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

Mycobacterium Tuberculosis Proteases and Implications for New Antibiotics Against Tuberculosis

Volume 21, Issue 4, 2011, pp. 347-361
DOI: 10.1615/CritRevEukarGeneExpr.v21.i4.50
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ABSTRACT

Tuberculosis remains a global health concern. Effective novel therapeutics are urgently needed to tackle the inexorable increase of multidrug resistant and extensively drug-resistant strains and HIV coinfection. Most proteases are important for Mycobacterium tuberculosis virulence involving in the evasion or subversion of host defenses and/or tissue degradation, therefore they are ideal candidates for new drug targets. To explore this possibility, we summarize the functions of Mycobacterium tuberculosis proteases, especially their roles in pathogenesis and as inhibitors during different clinical stages.

CITED BY
  1. Forrellad Marina A., Klepp Laura I., Gioffré Andrea, Sabio y García Julia, Morbidoni Hector R., Santangelo María de la Paz, Cataldi Angel A., Bigi Fabiana, Virulence factors of theMycobacterium tuberculosiscomplex, Virulence, 4, 1, 2013. Crossref

  2. Zhao Quanju, Li Wu, Chen Tian, He Ying, Deng Wanyan, Luo Hongping, Xie Jianping, Mycobacterium tuberculosisSerine Protease Rv3668c Can Manipulate the Host–Pathogen Interaction via Erk-NF-κB Axis-Mediated Cytokine Differential Expression, Journal of Interferon & Cytokine Research, 34, 9, 2014. Crossref

  3. Naffin-Olivos Jacqueline L., Georgieva Maria, Goldfarb Nathan, Madan-Lala Ranjna, Dong Lauren, Bizzell Erica, Valinetz Ethan, Brandt Gabriel S., Yu Sarah, Shabashvili Daniil E., Ringe Dagmar, Dunn Ben M., Petsko Gregory A., Rengarajan Jyothi, Boshoff Helena Ingrid, Mycobacterium tuberculosis Hip1 Modulates Macrophage Responses through Proteolysis of GroEL2, PLoS Pathogens, 10, 5, 2014. Crossref

  4. Portugal Brina, Motta Flávia N., Correa Andre F., Nolasco Diego O., de Almeida Hugo, Magalhães Kelly G., Atta Ana L. V., Vieira Francisco D., Bastos Izabela M. D., Santana Jaime M., Mycobacterium tuberculosis Prolyl Oligopeptidase Induces In vitro Secretion of Proinflammatory Cytokines by Peritoneal Macrophages, Frontiers in Microbiology, 08, 2017. Crossref

  5. Mikheecheva Natalya E., Zaychikova Marina V., Melerzanov Alexander V., Danilenko Valery N., A Nonsynonymous SNP Catalog of Mycobacterium tuberculosis Virulence Genes and Its Use for Detecting New Potentially Virulent Sublineages, Genome Biology and Evolution, 9, 4, 2017. Crossref

  6. Liu Hongxiu, Dang Guanghui, Zang Xinxin, Cai Zhuming, Cui Ziyin, Song Ningning, Liu Siguo, Characterization and pathogenicity of extracellular serine protease MAP3292c from Mycobacterium avium subsp. paratuberculosis, Microbial Pathogenesis, 142, 2020. Crossref

  7. Verma Renu, Pinto Sneha Maria, Patil Arun Hanumana, Advani Jayshree, Subba Pratigya, Kumar Manish, Sharma Jyoti, Dey Gourav, Ravikumar Raju, Buggi Shashidhar, Satishchandra Parthasarathy, Sharma Kusum, Suar Mrutyunjay, Tripathy Srikanth Prasad, Chauhan Devendra Singh, Gowda Harsha, Pandey Akhilesh, Gandotra Sheetal, Prasad Thottethodi Subrahmanya Keshava, Quantitative Proteomic and Phosphoproteomic Analysis of H37Ra and H37Rv Strains of Mycobacterium tuberculosis, Journal of Proteome Research, 16, 4, 2017. Crossref

  8. Osei-Wusu Stephen, Otchere Isaac Darko, Morgan Portia, Musah Abdul Basit, Siam Ishaque Mintah, Asandem Diana, Afum Theophilus, Asare Prince, Asante-Poku Adwoa, Kusi Kwadwo Asamoah, Gagneux Sebastien, Yeboah-Manu Dorothy, Quinn Frederick, Genotypic and phenotypic diversity of Mycobacterium tuberculosis complex genotypes prevalent in West Africa, PLOS ONE, 16, 8, 2021. Crossref

  9. Hamza Adel, Wagner Jonathan M., Evans Timothy J., Frasinyuk Mykhaylo S., Kwiatkowski Stefan, Zhan Chang-Guo, Watt David S., Korotkov Konstantin V., Novel Mycosin Protease MycP1 Inhibitors Identified by Virtual Screening and 4D Fingerprints, Journal of Chemical Information and Modeling, 54, 4, 2014. Crossref

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