Computational Methods in Physical Virology: A Critical Perspective across lengths and timescales.

Computational virology advances across scales, with AI integration promising to transform viral research and therapeutic development.

• Why it matters: Understanding viral processes at multiple scales is crucial for developing effective antiviral strategies, but current computational methods face significant limitations and gaps.
• What they did: The authors review diverse computational frameworks, from all-atom to multiscale simulations and AI tools, based on insights from a 2025 conference and attendee surveys.
• The result: They highlight challenges like data accessibility and reproducibility, and propose future integration of physics-aware AI and community data sharing to enable predictive, impactful virology applications.