activity
20222026
most citedRNA folding landscapes from explicit solvent all-atom simulations

7 citations · 8 across the 6 of their papers we have counts for

collaborators

6 papers

physics.chem-ph2026

A Machine-Learned Symbolic Committor for a Chemical Reaction: Retinal Isomerization

Kai Töpfer, Gianmarco Lazzeri, Vittoria Ossanna +4

The thermal cis-trans isomerization around the C=C double bond of retinal is a prototypical high-barrier reaction whose mechanism hinges on subtle out-of-plane bendin…

physics.chem-ph2025★ 1 cited

Understanding Reaction Mechanisms from Start to Finish

Rik S. Breebaart, Gianmarco Lazzeri, Roberto Covino +1

Understanding mechanisms of rare but important events in complex molecular systems, such as protein folding or ligand (un)binding, requires accurately mapping transition paths from…

physics.chem-ph2025

Optimal Rejection-Free Path Sampling

Gianmarco Lazzeri, Peter G. Bolhuis, Roberto Covino

We propose an efficient novel path sampling-based framework designed to accelerate the investigation of rare events in complex molecular systems. A key innovation is the shift from…

cond-mat.soft2024

Free energy, rates, and mechanism of transmembrane dimerization in lipid bilayers from dynamically unbiased molecular dynamics simulations

Emil Jackel, Gianmarco Lazzeri, Roberto Covino

The assembly of proteins in membranes plays a key role in many crucial cellular pathways. Despite their importance, characterizing transmembrane assembly remains challenging for ex…

physics.chem-ph2023

Molecular free energies, rates, and mechanisms from data-efficient path sampling simulations

Gianmarco Lazzeri, Hendrik Jung, Peter G. Bolhuis +1

Molecular dynamics is a powerful tool for studying the thermodynamics and kinetics of complex molecular events. However, these simulations can rarely sample the required time scale…

cond-mat.soft2022★ 7 cited

RNA folding landscapes from explicit solvent all-atom simulations

Gianmarco Lazzeri, Cristian Micheletti, Samuela Pasquali +1

Atomically detailed simulations of RNA folding have proven very challenging in view of the difficulties of developing realistic force fields and the intrinsic computational complex…