Identification of Conserved Allosteric Sites in the Global Virome via Inverse Covariance Matrix Analysis

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Authors: Kaan Bozanı
Cited by: 0

Abstract

This dataset presents the results of a high-throughput in silico structural screening targeting 30 major global pathogens. Utilizing an Inverse Covariance Matrix (Precision Matrix) approach on a single workstation, the study identifies "Highly Coupled Residue Clusters" (HCRCs) that are evolutionarily conserved and structurally obligate. The provided library includes binding affinity scores and toxicity profiles for broad-spectrum inhibitor candidates targeting SARS-CoV-2, Ebola, HIV-1, and neurodegenerative fibrils. All targets are confirmed Safe-by-Design with minimal human proteome homology.

Fields of Study & Subjects

Computational Drug Discovery Methods Protein Structure and Dynamics vaccines and immunoinformatics approaches

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
18 January 2026
Document type
Preprint