Review
Open access
2026
Physics-informed deep learning: A new paradigm for macromolecular recognition and rational protein design
By delineating how physics-based priors synergize with data-driven representation learning, this review provides a comprehensive roadmap for generating physically plausible and thermodynamically stable therapeutics, ultimately accelerating the transition of computationally designed molecules from in silico blueprints to viable clinical candidates.
Hao-Bo Xie, Hao Wang, Xiao-Jun Yao et al.
· The Innovation Drug Discover... · 0 citations