output
20062025
most citedIdentification of slow molecular order parameters for Markov model construction

1.1k citations

35 papers

eess.SP2025★ 19 cited

Characterisation of exposure to non-ionising electromagnetic fields in the Spanish INMA birth cohort: Study protocol

M. Gallastegi, M. Guxens, A. Jimenez-Zabala +15

Analysis of the association between exposure to electromagnetic fields of non-ionising radiation (EMF-NIR) and health in children and adolescents is hindered by the limited availab…

q-bio.BM2024★ 8 cited

AMARO: All Heavy-Atom Transferable Neural Network Potentials of Protein Thermodynamics

Antonio Mirarchi, Raul P. Pelaez, Guillem Simeon +1

All-atom molecular simulations offer detailed insights into macromolecular phenomena, but their substantial computational cost hinders the exploration of complex biological process…

q-bio.BM2024★ 46 cited

mdCATH: A Large-Scale MD Dataset for Data-Driven Computational Biophysics

Antonio Mirarchi, Toni Giorgino, Gianni De Fabritiis

Recent advancements in protein structure determination are revolutionizing our understanding of proteins. Still, a significant gap remains in the availability of comprehensive data…

astro-ph.GA2024★ 129 cited

Discovery of a dormant 33 solar-mass black hole in pre-release Gaia astrometry

Gaia Collaboration, P. Panuzzo, T. Mazeh +412

Gravitational waves from black-hole merging events have revealed a population of extra-galactic BHs residing in short-period binaries with masses that are higher than expected base…

cs.LG2024★ 58 cited

TorchMD-Net 2.0: Fast Neural Network Potentials for Molecular Simulations

Raul P. Pelaez, Guillem Simeon, Raimondas Galvelis +6

Achieving a balance between computational speed, prediction accuracy, and universal applicability in molecular simulations has been a persistent challenge. This paper presents subs…

q-bio.BM2023★ 28 cited

PlayMolecule Viewer: a toolkit for the visualization of molecules and other data

Mariona Torrens-Fontanals, Panagiotis Tourlas, Stefan Doerr +1

PlayMolecule Viewer is a web-based data visualization toolkit designed to streamline the exploration of data resulting from structural bioinformatics or computer-aided drug design…