Your browser doesn't support javascript.
Evaluation of immune evasion in SARS-CoV-2 Delta and Omicron variants.
Chaudhari, Armi M; Joshi, Madhvi; Kumar, Dinesh; Patel, Amrutlal; Lokhande, Kiran Bharat; Krishnan, Anandi; Hanack, Katja; Filipek, Slawomir; Liepmann, Dorian; Renugopalakrishnan, Venkatesan; Paulmurugan, Ramasamy; Joshi, Chaitanya.
  • Chaudhari AM; Gujarat Biotechnology Research Centre (GBRC), Department of Science and Technology, Government of Gujarat, Gandhinagar 382011, India.
  • Joshi M; Gujarat Biotechnology Research Centre (GBRC), Department of Science and Technology, Government of Gujarat, Gandhinagar 382011, India.
  • Kumar D; Gujarat Biotechnology Research Centre (GBRC), Department of Science and Technology, Government of Gujarat, Gandhinagar 382011, India.
  • Patel A; Gujarat Biotechnology Research Centre (GBRC), Department of Science and Technology, Government of Gujarat, Gandhinagar 382011, India.
  • Lokhande KB; Gujarat Biotechnology Research Centre (GBRC), Department of Science and Technology, Government of Gujarat, Gandhinagar 382011, India.
  • Krishnan A; Cellular Pathway Imaging Laboratory (CPIL), Department of Radiology, Stanford University School of Medicine, Palo Alto, CA 94304, United States.
  • Hanack K; Department of Pathology, Stanford University School of Medicine, Palo Alto, CA 94304, United States.
  • Filipek S; Immunotechnology Group, Department of Biochemistry and Biology, University of Potsdam, Karl-Liebknecht-Str. 24-25, 14476 Potsdam, Germany.
  • Liepmann D; Faculty of Chemistry & Biological and Chemical Research, Centre, University of Warsaw, ul, Pasteura 1, 02-093 Warsaw, Poland.
  • Renugopalakrishnan V; Department of Bioengineering, University of California, Berkeley, Berkeley, CA 94720, United States.
  • Paulmurugan R; Department of Chemistry, Northeastern University, Boston Children's Hospital, Harvard Medical School, Boston, MGB Center for COVID Innovation, MA 02115, United States.
  • Joshi C; Cellular Pathway Imaging Laboratory (CPIL), Department of Radiology, Stanford University School of Medicine, Palo Alto, CA 94304, United States.
Comput Struct Biotechnol J ; 20: 4501-4516, 2022.
Article in English | MEDLINE | ID: covidwho-2254406
ABSTRACT
Emerging SARS-CoV-2 variants with higher transmissibility and immune escape remain a persistent threat across the globe. This is evident from the recent outbreaks of the Delta (B.1.617.2) and Omicron variants. These variants have originated from different continents and spread across the globe. In this study, we explored the genomic and structural basis of these variants for their lineage defining mutations of the spike protein through computational analysis, protein modeling, and molecular dynamic (MD) simulations. We further experimentally validated the importance of these deletion mutants for their immune escape using a pseudovirus-based neutralization assay, and an antibody (4A8) that binds directly to the spike protein's NTD. Delta variant with the deletion and mutations in the NTD revealed a better rigidity and reduced flexibility as compared to the wild-type spike protein (Wuhan isolate). Furthermore, computational studies of 4A8 monoclonal antibody (mAb) revealed a reduced binding of Delta variant compared to the wild-type strain. Similarly, the MD simulation data and virus neutralization assays revealed that the Omicron also exhibits immune escape, as antigenic beta-sheets appear to be disrupted. The results of the present study demonstrate the higher possibility of immune escape and thereby achieved better fitness advantages by the Delta and Omicron variants, which warrants further demonstrations through experimental evidences. Our study, based on in-silico computational modelling, simulations, and pseudovirus-based neutralization assay, highlighted and identified the probable mechanism through which the Delta and Omicron variants are more pathogenically evolved with higher transmissibility as compared to the wild-type strain.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study Topics: Variants Language: English Journal: Comput Struct Biotechnol J Year: 2022 Document Type: Article Affiliation country: J.csbj.2022.08.010

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study Topics: Variants Language: English Journal: Comput Struct Biotechnol J Year: 2022 Document Type: Article Affiliation country: J.csbj.2022.08.010