The Entropic Vise: A Physics-Based Framework for High-Barrier Thermodynamic Targeting of HIV-1 Through Constrained Generative Modeling and Real-Time Latency Detection
Abstract
Version 2.2 Update: This revision incorporates findings from an adversarial audit by K-Dense AI. The hypothesis has been refined from "thermodynamic impossibility" to "high fitness cost barriers" to align with clinical data on Enfuvirtide resistance. Features a new "Limitations" section and calls for Deep Mutational Scanning validation.
Fields of Study & Subjects
Evolution and Genetic Dynamics
CRISPR and Genetic Engineering
Computational Drug Discovery Methods
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 18 January 2026
- Language
- EN
- Document type
- Preprint