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Simon M. Lichtinger

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Preprint Aug 2026

Committors and Reaction Rates from Trial Functions That Violate the Boundary Conditions

The committor is the optimal reaction coordinate for a rare transition: it pinpoints the transition state and fixes the rate, and it governs events from protein folding to crystal nucleation. It minimises a Dirichlet energy, whose value at the minimum is the reactive flux, over functions that vanish on the reactant state and equal one on the product state. In high dimensions such a trial space is very hard to build. Here we rewrite the variational principle so that the boundary conditions are replaced by a normalisation of one boundary observable, the fidelity. Any trial function is then admissible, including functions that cannot satisfy the boundary values at all. On this basis we estimate the high-dimensional committor and rates from one-dimensional profiles along projected coordinates, taking as input only pre-existing equilibrium or reweighted configurations, a diffusion constant estimate, and the two state definitions. The optimum has a closed form that is cheap to evaluate. We obtain committors for AIB9 and villin HP-35 in full torsion space, and folding and unfolding rates for chignolin from umbrella sampling alone.

M. Petersen, Simon M. Lichtinger, Roberto Covino · 0 citations
Preprint Jul 2026

Accelerated descriptor-free path sampling for protein-ligand binding kinetics

This work proposes a method to compute accurate kinetics for general ligand-unbinding problems at modest computational expense and minimal fine tuning, building on the AIMMD path sampling framework and opting for modelling the committor with a single descriptor-free, equivariant graph neural network shared across all systems.

Simon M. Lichtinger, Roberto Covino · 0 citations

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