arXiv subjects

Paul Robustelli

Publications and source records attributed to Paul Robustelli.

3 recordsLinked to original sources

arXiv2026

Roadmap for Condensates in Cell Biology

Biomolecular condensates govern essential cellular processes yet elude description by traditional equilibrium models. This roadmap, distilled from structured discussions at a workshop and reflecting the consensus of its participants, clarifies key concepts for researchers, funding bodies, and journals. After unifying terminology that often separates disciplines, we outline the core physics of condensate formation, review their biological roles, and identify outstanding challenges in nonequilibrium theory, multiscale simulation, and quantitative in-cell measurements. We close with a forward-looking outlook to guide coordinated efforts toward predictive, experimentally anchored understanding and control of biomolecular condensates.

physics.bio-ph↗

arXiv2025

Performing all-atom molecular dynamics simulations of intrinsically disordered proteins with replica exchange solute tempering

All-atom molecular dynamics (MD) computer simulations are a valuable tool for characterizing the conformational ensembles of intrinsically disordered proteins (IDPs). IDP conformational ensembles are highly heterogeneous and contain structures with many distinct topologies separated by large free-energy barriers. Sampling the vast conformational space of IDPs in explicit solvent all-atom MD simulations is extremely challenging, and enhanced sampling methods are generally required to obtain statistically meaningful descriptions of IDP conformational ensembles. Replica exchange solute tempering (REST) methods, where multiple coupled simulations of a system are performed in parallel with selectively modified potential energy functions, are a powerful approach for efficiently sampling the conformational space of IDPs. In this chapter, we demonstrate how to set-up, perform and analyze all-atom MD simulations of IDPs with REST enhanced sampling methods.

physics.chem-ph↗

arXiv2023

Structure-Based Experimental Datasets for Benchmarking Protein Simulation Force Fields

This review article provides an overview of structurally oriented experimental datasets that can be used to benchmark protein force fields, focusing on data generated by nuclear magnetic resonance (NMR) spectroscopy and room temperature (RT) protein crystallography. We discuss what the observables are, what they tell us about structure and dynamics, what makes them useful for assessing force field accuracy, and how they can be connected to molecular dynamics simulations carried out using the force field one wishes to benchmark. We also touch on statistical issues that arise when comparing simulations with experiment. We hope this article will be particularly useful to computational researchers and trainees who develop, benchmark, or use protein force fields for molecular simulations.

q-bio.BM↗