Prior drift for torsional degrees on SO(2)^M integrated with autoregressive sidechain updates

Develop an explicit, computationally tractable formulation for the prior drift term on the torsion manifold SO(2)^M within the geometric diffusion prior bridge for flexible protein–ligand docking by adapting the torsion force—defined as the difference between the torques applied on each side of a rotatable bond—to the SO(2)^M manifold and integrating it with the autoregressive sidechain torsion update scheme used for pocket sidechains.

Background

The Re-Dock framework extends diffusion bridges to non-Euclidean geometric manifolds to jointly generate ligand poses and pocket sidechain conformations. Energy-to-geometry mapping based on the Newton–Euler equations provides prior drift terms for translation and rotation, enabling interaction-aware guidance.

However, the authors explicitly omit the calculation of prior drift on the torsion manifold SO(2)M due to its computational complexity. They note that torsion forces can be defined as differences in torques across rotatable bonds, but adapting this formulation to the SO(2)M manifold and to their autoregressive sidechain torsion update scheme is non-trivial and left for future work. Addressing this gap would enable explicit prior-guided torsional updates within their geometric diffusion bridge.

References

As the calculation of prior drift on torsion manifold $SO(2)M$, where $M=m_{lig}+m_{sc}$ is the number of rotatable bonds, is complex and requires extensive computations, we omit it for simplicity. The torsion force can be described as the difference between the torques applied on each side of the rotatable bonds,but its adaptation with $SO(2)M$ manifold and autoregressive sidechain torsion update is non-trivial and we leave it as future work.

Re-Dock: Towards Flexible and Realistic Molecular Docking with Diffusion Bridge (2402.11459 - Huang et al., 18 Feb 2024) in Appendix: More details about the bridge