4.3 Article

Elucidating important structural features for the binding affinity of spike - SARS-CoV-2 neutralizing antibody complexes

Journal

PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
Volume 90, Issue 3, Pages 824-834

Publisher

WILEY
DOI: 10.1002/prot.26277

Keywords

binding affinity; COVID-19; mutational analysis; neutralizing antibodies; regression analysis; SARS-CoV-2

Funding

  1. Robert Bosch Center for Data Science and Artificial Intelligence (RBCDSAI), Indian Institute of Technology Madras
  2. Department of Science and Technology, Government of India [MSC/2020/000319]

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Antibodies against SARS-CoV-2 isolated from vaccinated and convalescent individuals showed potential binding affinity, offering opportunities for designing more effective antibodies against current and emerging variants. A regression model was developed to predict antibody binding affinity using structural features, with a high correlation coefficient of 0.93. The study also identified mutations at the spike protein-antibody interface that may affect immune escape and enhance affinity in current or future variants.
The coronavirus disease 2019 (COVID-19) has affected the lives of millions of people around the world. In an effort to develop therapeutic interventions and control the pandemic, scientists have isolated several neutralizing antibodies against SARS-CoV-2 from the vaccinated and convalescent individuals. These antibodies can be explored further to understand SARS-CoV-2 specific antigen-antibody interactions and biophysical parameters related to binding affinity, which can be utilized to engineer more potent antibodies for current and emerging SARS-CoV-2 variants. In the present study, we have analyzed the interface between spike protein of SARS-CoV-2 and neutralizing antibodies in terms of amino acid residue propensity, pair preference, and atomic interaction energy. We observed that Tyr residues containing contacts are highly preferred and energetically favorable at the interface of spike protein-antibody complexes. We have also developed a regression model to relate the experimental binding affinity for antibodies using structural features, which showed a correlation of 0.93. Moreover, several mutations at the spike protein-antibody interface were identified, which may lead to immune escape (epitope residues) and improved affinity (paratope residues) in current/emerging variants. Overall, the work provides insights into spike protein-antibody interactions, structural parameters related to binding affinity and mutational effects on binding affinity change, which can be helpful to develop better therapeutics against COVID-19.

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