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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

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

2022Biochemical Genetics12 citationsDOIOpen Access PDF

Topics & Concepts

BiologyIn silicoCoronavirusVirusDocking (animal)MutationMutantPlasma protein bindingVirologyComputational biologyGeneticsCell biologyGeneDiseaseInfectious disease (medical specialty)Coronavirus disease 2019 (COVID-19)PathologyMedicineNursingSARS-CoV-2 and COVID-19 ResearchComputational Drug Discovery Methodsvaccines and immunoinformatics approaches
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 | Litcius