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

Area of Science:

• Structural Biology
• Immunology
• Computational Biology

Background:

• The COVID-19 pandemic necessitates the development of effective therapeutics, including neutralizing antibodies targeting SARS-CoV-2.
• Understanding antigen-antibody interactions is key to engineering potent antibodies against current and emerging viral variants.

Purpose of the Study:

• To analyze the structural features of the SARS-CoV-2 spike protein-antibody interface.
• To identify key amino acid residues and interactions influencing binding affinity.
• To develop a predictive model for antibody binding affinity and explore mutational effects.

Main Methods:

• Analysis of amino acid residue propensity, pair preference, and atomic interaction energy at the spike protein-antibody interface.
• Development of a regression model correlating structural features with experimental binding affinity.
• Identification of mutations at the interface and their potential impact on immune escape and affinity.

Main Results:

• Tyrosine (Tyr) residues were identified as highly preferred and energetically favorable at the spike protein-antibody interface.
• A regression model accurately predicted binding affinity with a correlation of 0.93 using structural features.
• Specific mutations were linked to potential immune escape (epitope) and altered binding affinity (paratope).

Conclusions:

• Insights into spike protein-antibody interactions provide a foundation for designing enhanced COVID-19 therapeutics.
• Structural parameters and mutational effects on binding affinity are critical for developing antibodies effective against SARS-CoV-2 variants.
• This work facilitates the engineering of more potent antibodies for pandemic control.