Preprint Brief Report Version 1 This version is not peer-reviewed

Binding Epitopes of 2019-nCoV Proteins for Perspective Diagnostic and Therapeutic Applications: Insights from Computational Approaches

Version 1 : Received: 12 March 2020 / Approved: 12 March 2020 / Online: 12 March 2020 (15:02:49 CET)

How to cite: D'Annessa, I.; Marchetti, F.; Colombo, G. Binding Epitopes of 2019-nCoV Proteins for Perspective Diagnostic and Therapeutic Applications: Insights from Computational Approaches. Preprints 2020, 2020030221 (doi: 10.20944/preprints202003.0221.v1). D'Annessa, I.; Marchetti, F.; Colombo, G. Binding Epitopes of 2019-nCoV Proteins for Perspective Diagnostic and Therapeutic Applications: Insights from Computational Approaches. Preprints 2020, 2020030221 (doi: 10.20944/preprints202003.0221.v1).

Abstract

The appearance of the novel betacoronavirus 2019-nCoV represents a major threat to human health, and its diffusion around the world is predicted to have dramatic economic consequences. The knowledge of the 3D structures of 2019-nCoV proteins can facilitate the development of diagnostic and therapeutic molecules. Herein, we apply our energy-based method for the prediction of potential epitopes on viral proteins to design peptide-based molecules that can subsequently be used in diagnostic and therapeutic applications. We discuss these aspects in the paper.The designs have not been tested. Our aim is to share information that can be useful in the development of novel biomolecules with potential interesting activities against 2019-nCoV.

Subject Areas

COVID-19; 2019-nCoV; diagnostics; antibodies; structural vaccinology

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