Using In Silico Bioinformatics Algorithms for the Accurate Prediction of the Impact of Spike Protein Mutations on the Pathogenicity, Stability, and Functionality of the SARS-CoV-2 Virus and Analysis of Potential Therapeutic Targets-Reference-Cited by-同舟云学术

Using In Silico Bioinformatics Algorithms for the Accurate Prediction of the Impact of Spike Protein Mutations on the Pathogenicity, Stability, and Functionality of the SARS-CoV-2 Virus and Analysis of Potential Therapeutic Targets

Published:2022-09-29 Issue:2 Volume:61 Page:778-808
ISSN:0006-2928
Container-title:Biochemical Genetics
language:en
Short-container-title:Biochem Genet

Author:

Alizadehmohajer Negin,Zahedifar Shahrzad,Sohrabi Ehsan,Shaddel Basir Sedighe,Nourigheimasi Shima,Falak Reza,Nedaeinia Reza^ORCID,A. Ferns Gordon,Emami Nejad Asieh,Manian Mostafa

Publisher

Springer Science and Business Media LLC

Subject

Genetics,Molecular Biology,General Medicine,Ecology, Evolution, Behavior and Systematics,Biochemistry

Link

https://link.springer.com/content/pdf/10.1007/s10528-022-10282-9.pdf

Reference55 articles.

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3. Blundell TL, Pandurangan AP, Ochoa-Montaño B, Ascher DB (2017) SDM: a server for predicting effects of mutations on protein stability. Nucleic Acids Res 45(W1):W229–W235

4. Bromberg Y, Yachdav G, Rost B (2008) SNAP predicts effect of mutations on protein function. Bioinformatics 24:2397–2398. https://doi.org/10.1093/bioinformatics/btn435

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