EventsThe 1st International Online Conference on Diagnostics
Published
This submission belongs to the session S4. Clinical Diagnosis and Prognosis of the event The 1st International Online Conference on Diagnostics
Published date
18 Sep, 2026
Academic Editor
author-avatarElad Asher
Citation
Brian Andrich La Valle Pollo, Glenmarie Angelica Perias, Riziel Hannah Aguimatang, Ayra Patrice Espiritu, Danica Ching, Maria Isabel Idolor, Ruby Anne King, Fresthel Monica Climacosa, Salvador Eugenio Caoili, Computational and Experimental Antibody Affinity Quantification of SARS-CoV-2 SD2 Major Disulfide Loop, in Proceedings of The 1st International Online Conference on Diagnostics, 23 September–24 September 2026, MDPI: Basel, Switzerland
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Computational and Experimental Antibody Affinity Quantification of SARS-CoV-2 SD2 Major Disulfide Loop

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Riziel Hannah Aguimatang 1
Danica Ching 2
Ruby Anne King 3
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1. Department of Biochemistry and Molecular Biology, College of Medicine, University of the Philippines Manila, Manila 1000, Philippines
2. Institute of Clinical Epidemiology, National Institutes of Health, Manila 1000, Philippines
3. Philippine Council for Health Research and Development, Department of Science and Technology, Taguig City 1631, Philippines
4. Department of Medical Microbiology, College of Public Health, University of the Philippines Manila, Manila 1000, Philippines
Abstract

Background: While a diverse array of COVID-19 vaccine platforms has been deployed to elicit immune responses targeting the SARS-CoV-2 spike (S) protein, the virus has evolved rapidly, generating variants with enhanced immune evasion. Such shifts complicated the adaptability of current vaccine technologies, which often involve lengthy production timelines. As a strategic alternative, synthetic oligopeptides offer a streamlined and cost-efficient route for generating highly specific antibodies, with potential advantages in scalability and variant responsiveness.

Aim: This study computationally and experimentally characterized a synthetic peptide analog of the SARS-CoV-2 spike subdomain 2 major disulfide loop (SD2MDL), designated S621 (CPVAIHADQLTPTWRVYSTC).

Results: . S621 was a peptide analog of an antibody-accessible, conformationally disordered sequence segment of SD2MDL that is conserved across various SARS-CoV-2 strains. Multiple S621 residues are unresolved by X-ray crystallography. Computational binding affinity was estimated using the Heuristic Affinity Prediction Tool for Immune Complexes (HAPTIC), and experimental validation was performed through enzyme-linked immunosorbent assay (ELISA) with rabbit-derived antipeptide antibodies. Clinical testing was conducted using plasma samples from RT-PCR–confirmed COVID-19 patients and prepandemic controls. S621 demonstrated subnanomolar binding affinity ( = 1.14 nM) and high avidity (3.67 nM), closely matching HAPTIC predictions (3.54 nM). S621 was subsequently developed into a diagnostic assay. Testing using predetermined thresholds on 1,443 samples and controls revealed a sensitivity of ~90%, corresponding to an accuracy of around 71.79%.

Conclusion: S621, the peptide analog representing SD2MDL, was bound by antibodies with high affinity, suggesting utility as a surrogate for the the full-length SARS-CoV-2 S protein. Work is underway to investigate the binding of S621-specific antipeptide antibodies to intact SARS-CoV-2 virions. This synthetic oligopeptide-based approach may be adapted to generate high-affinity antibodies against endemic pathogens in the Philippine setting, offering a locally viable platform for developing immunodiagnostics/ prophylactics/therapeutics.

Keywords
Peptides
Antibodies
COVID-19
Enzyme-Linked Immunosorbent Assay
Protein Binding
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