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Roberto Covino

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#artificial intelligence Preprint Oct 2026

Fold'EM: Direct atomic structure inference from Cryo-EM particles

Single-particle cryo-electron microscopy (cryo-EM) has become a widely adopted technique for biomolecular structure determination. The conventional cryo-EM computational pipeline first combines many particle images to reconstruct an electrostatic potential (ESP) map and then fits an atomic model to the recovered map. D...

Advaith Maddipatla, Märt-Erik Mäeots, M. Pegoraro et al. · 0 citations
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 sta...

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 s...

Simon M. Lichtinger, Roberto Covino · 0 citations

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