Viral Protein Complex Studio
Explore AI-predicted macromolecular 3D structures for high-consequence viral complexes. Inspect tertiary interfaces, simulate mutational escape drifts, and probe neutralizing antibody binding epitopes.
SARS-CoV-2 Spike Glycoprotein Trimer
Class I fusion glycoprotein complexed with human ACE2 receptorSARS-CoV-2 S-Trimer
Open AI Models for Global Pandemic Preparedness
Structural biology is entering a decisive transition. While solving high-resolution viral complexes via cryo-electron microscopy (cryo-EM) or X-ray crystallography traditionally required months of wet-lab titration, coordinated AI modeling allows researchers to screen thousands of viral species ahead of potential outbreaks.
By mapping multimeric quaternary interactions—how trimeric envelope glycoproteins assemble, dock to conserved host receptors, or flex during fusion—medicinal chemists can discover pan-viral vulnerable epitopes that remain conserved across mutant clades.
Structural Methods & Metrics
Predicted Local Distance Difference Test (pLDDT)
pLDDT estimates per-residue confidence on a 0–100 scale. Scores >90 correspond to high-accuracy backbone and sidechain coordinates comparable to experimental crystallographic determinations. Interface contacts scored >80 provide actionable epitope binding topologies.
Interface Buried Surface Area (BSA) & Steric Escape
Buried surface area (Ų) quantifies the solvent-accessible surface sealed upon complex formation. Mutations introducing bulkier or charged residues (e.g., E484K or K417N) alter local electrostatic potential and can disrupt key hydrogen bond networks, triggering immune evasion.
Open Structural File Integration
This studio allows one-click export of structural coordinate files and PyMOL visualization commands (.pml), directly ingestible by ChimeraX, PyMOL, and BioNeMo computational pipelines.