activity
20162026
most citedBioEM: GPU-accelerated computing of Bayesian inference of electron microscopy images

40 citations · 113 across the 11 of their papers we have counts for

collaborators

11 papers

cs.LG2026★ 4 cited

Robust Inference-Time Steering of Protein Diffusion Models via Embedding Optimization

Minhuan Li, Jiequn Han, Pilar Cossio +1

A core challenge in structural biophysics is generating biomolecular conformations that are both physically plausible and consistent with experimental measurements. While sequence-…

physics.chem-ph2023★ 13 cited

Microscopic Theory, Analysis, and Interpretation of Conductance Histograms in Molecular Junctions

Leopoldo Mejía, Pilar Cossio, Ignacio Franco

Molecular electronics break-junction experiments are widely used to investigate fundamental physics and chemistry at the nanoscale. Reproducibility in these experiments relies on m…

q-bio.BM2022★ 1 cited

Ensemble reweighting using Cryo-EM particles

Wai Shing Tang, David Silva-Sánchez, Julian Giraldo-Barreto +5

Cryo-electron microscopy (cryo-EM) has recently become a premier method for obtaining high-resolution structures of biological macromolecules. However, it is limited to biomolecula…

physics.chem-ph2022★ 5 cited

Simulation-based inference of single-molecule force spectroscopy

Lars Dingeldein, Pilar Cossio, Roberto Covino

Single-molecule force spectroscopy (smFS) is a powerful approach to studying molecular self-organization. However, the coupling of the molecule with the ever-present experimental d…

cond-mat.mtrl-sci2022★ 11 cited

Ab initio metadynamics determination of temperature-dependent free-energy landscape in ultrasmall silver clusters

Daniel Sucerquia, Cristian Parra, Pilar Cossio +1

Ab initio metadynamics enables extracting free-energy landscapes having the accuracy of first principles electronic structure methods. We introduce an interface between the PLUMED…

physics.bio-ph2021

Transition rates, survival probabilities, and quality of bias from time-dependent biased simulations

Karen Palacio-Rodriguez, Hadrien Vroylandt, Lukas S. Stelzl +3

Simulations with an adaptive time-dependent bias, such as metadynamics, enable an efficient exploration of the conformational space of a system. However, the dynamic information of…

q-bio.BM2021

A Bayesian approach for extracting free energy profiles from cryo-electron microscopy experiments using a path collective variable

Julian Giraldo-Barreto, Sebastian Ortiz, Erik H. Thiede +4

Cryo-electron microscopy (cryo-EM) extracts single-particle density projections of individual biomolecules. Although cryo-EM is widely used for 3D reconstruction, due to its single…

q-bio.BM2020★ 21 cited

PARCE: Protocol for Amino acid Refinement through Computational Evolution

Rodrigo Ochoa, Miguel A. Soler, Alessandro Laio +1

The in silico design of peptides and proteins as binders is useful for diagnosis and therapeutics due to their low adverse effects and major specificity. To select the most promisi…

physics.bio-ph2019

Cross-validation tests for cryo-EM maps using an independent particle set

Sebastian Ortiz, Luka Stanisic, Boris A Rodriguez +3

Cryo-electron microscopy is a revolutionary technique that can provide 3D density maps at near-atomic resolution. However, map validation is still an open issue in the field. Despi…

physics.chem-ph2019★ 18 cited

Molecular free energy profiles from force spectroscopy experiments by inversion of observed committors

Roberto Covino, Michael T. Woodside, Gerhard Hummer +2

In single-molecule force spectroscopy experiments, a biomolecule is attached to a force probe via polymer linkers, and the total extension -- of molecule plus apparatus -- is monit…

q-bio.BM2016★ 40 cited

BioEM: GPU-accelerated computing of Bayesian inference of electron microscopy images

Pilar Cossio, David Rohr, Fabio Baruffa +3

In cryo-electron microscopy (EM), molecular structures are determined from large numbers of projection images of individual particles. To harness the full power of this single-mole…