Computational Analysis of Deleterious SNPs in NRAS to Assess Their Potential Correlation With Carcinogenesis.

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Bibliographic Details
Title: Computational Analysis of Deleterious SNPs in NRAS to Assess Their Potential Correlation With Carcinogenesis.
Authors: Behairy MY; Department of Microbiology and Immunology, Faculty of Pharmacy, University of Sadat City, Sadat City, Egypt., Soltan MA; Department of Microbiology and Immunology, Faculty of Pharmacy, Sinai University, Ismailia, Egypt., Adam MS; Department of Pharmacology, Faculty of Pharmacy, Suez Canal University, Ismailia, Egypt., Refaat AM; Zoology Departmen, Faculty of Science, Minia University, El-Minia, Egypt., Ezz EM; Department of Pharmacology, Faculty of Medicine, University of Khartoum, Khartoum, Sudan., Albogami S; Department of Biotechnology, College of Sciences, Taif University, Taif, Saudi Arabia., Fayad E; Department of Biotechnology, College of Sciences, Taif University, Taif, Saudi Arabia., Althobaiti F; Department of Biotechnology, College of Sciences, Taif University, Taif, Saudi Arabia., Gouda AM; Department of Pharmacy Practice, Faculty of Pharmacy, Zagazig University, Zagazig, Egypt., Sileem AE; Department of Chest Diseases, Faculty of Medicine, Zagazig University, Zagazig, Egypt., Elfaky MA; Department of Natural Products, Faculty of Pharmacy, King Abdulaziz University, Jeddah, Saudi Arabia.; Centre for Artificial Intelligence in Precision Medicines, King Abdulaziz University, Jeddah, Saudi Arabia., Darwish KM; Department of Medicinal Chemistry, Faculty of Pharmacy, Suez Canal University, Ismailia, Egypt., Alaa Eldeen M; Cell Biology, Histology and Genetics Division, Zoology Department, Faculty of Science, Zagazig University, Zagazig, Egypt.
Source: Frontiers in genetics [Front Genet] 2022 Aug 16; Vol. 13, pp. 872845. Date of Electronic Publication: 2022 Aug 16 (Print Publication: 2022).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101560621 Publication Model: eCollection Cited Medium: Print ISSN: 1664-8021 (Print) Linking ISSN: 16648021 NLM ISO Abbreviation: Front Genet Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1664-8021
DOI:10.3389/fgene.2022.872845