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Critical Reviews™ in Eukaryotic Gene Expression

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ISSN Imprimer: 1045-4403

ISSN En ligne: 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

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Bioinformatics Approaches to Explore the Phylogeny and Role of BRCA1 in Breast Cancer

Volume 29, Numéro 6, 2019, pp. 551-564
DOI: 10.1615/CritRevEukaryotGeneExpr.2019030785
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RÉSUMÉ

BRCA1 and BRCA2 are the two major vulnerability genes involved in hereditary breast cancer. BRCA1 gene programs for a tumor suppressor protein that helps in repairing DNA. The purpose of this study was to reveal the position and nature of amino acid residues involved in breast cancer, and it provides a complete characterization of BRCA1 and its evolutionary relationship with 34 selected organisms. The sequences were retrieved from NCBI, and after analyzing them in BLAST, a complete annotation of both types of genes from a human was done; in addition, a phylogenetic analysis was performed from 34 different organisms to study evolutionary relationships of BRCA1. A total of 1080 positions of genes were found in the dataset in which the first 3 were noncoding positions and the remaining were all coding regions. A tree was originated using MEGA that showed strong evolutionary relationships among three orders (Catertiodactyla, carnivore, and primates) of these organisms, which are closely related to each other. All features of wild and mutant proteins were studied by ProtParam. The location and number of alpha helices, beta sheets, coils, strands, and the binding regions, disordered regions were identified using different tools (SOPMA, PHD, and GOR4) and their percentages greatly varied. Our study revealed that the BRCA1 gene involved in cancer development had a weaker selection than those involved in sporadic cancer. Our investigation showed that in mammals, selection acting on human cancer genes drives adaptive variations in behaviors related to organismal fitness, rather than select for biological roles directly linked to cancer.

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CITÉ PAR
  1. Ahmad Hafiz Ishfaq, Afzal Gulnaz, Jamal Adil, Kiran Shumaila, Khan Musarrat Abbas, Mehmood Khalid, Kamran Zahid, Ahmed Irfan, Ahmad Shakeel, Ahmad Asmar, Hussain Javed, Almas Sadaf, Ahmed Sibtain, In Silico Structural, Functional, and Phylogenetic Analysis of Cytochrome (CYPD) Protein Family, BioMed Research International, 2021, 2021. Crossref

  2. Ahmad Hafiz Ishfaq, Afzal Gulnaz, Iqbal Muhammad Nouman, Iqbal Muhammad Arslan, Shokrollahi Borhan, Mansoor Muhammad Khalid, Chen Jinping, Positive Selection Drives the Adaptive Evolution of Mitochondrial Antiviral Signaling (MAVS) Proteins-Mediating Innate Immunity in Mammals, Frontiers in Veterinary Science, 8, 2022. Crossref

  3. Arif Rawaba, Zia Muhammad Anjum, Mustafa Ghulam, Structural and Functional Annotation of Napin-Like Protein from Momordica charantia to Explore its Medicinal Importance, Biochemical Genetics, 60, 1, 2022. Crossref

  4. Ahmad Hafiz Ishfaq, Ijaz Nabeel, Afzal Gulnaz, Asif Akhtar Rasool, ur Rehman Aziz, Rahman Abdur, Ahmed Irfan, Yousaf Muhammad, Elokil Abdelmotaleb, Muhammad Sayyed Aun, Albogami Sarah M., Alotaibi Saqer S., Shah Shahid Ali, Computational Insights into the Structural and Functional Impacts of nsSNPs of Bone Morphogenetic Proteins, BioMed Research International, 2022, 2022. Crossref

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