activity
20192021
most citedCoupling enhanced sampling of the apo-receptor with template-based ligand conformers selection: Performance in pose prediction in the D3R-GC4

15 citations · 26 across the 4 of their papers we have counts for

collaborators

7 papers

q-bio.BM2021

Information-Driven Modeling of Biomolecular Complexes

Charlotte W. van Noort, Rodrigo V. Honorato, Alexandre M. J. J. Bonvin

Proteins play crucial roles in every cellular process by interacting with each other, with nucleic acids, metabolites, and other molecules. The resulting assemblies can be very lar…

q-bio.OT20203 cited

Towards Increased Reliability, Transparency and Accessibility in Crosslinking Mass Spectrometry

Alexander Leitner, Alexandre M. J. J. Bonvin, Christoph H. Borchers +33

Crosslinking mass spectrometry (Crosslinking MS) has substantially matured as a method over the last two decades through parallel development in multiple labs, demonstrating its ap…

q-bio.BM20201 cited

A protocol for information-driven antibody-antigen modelling with the HADDOCK2.4 webserver

Francesco Ambrosetti, Zuzana Jandova, Alexandre M. J. J. Bonvin

In the recent years, therapeutic use of antibodies has seen a huge growth, due to their inherent proprieties and technological advances in the methods used to study and characteriz…

q-bio.BM202015 cited

Coupling enhanced sampling of the apo-receptor with template-based ligand conformers selection: Performance in pose prediction in the D3R-GC4

Andrea Basciu, Panagiotis I. Koukos, Giuliano Malloci +2

We report the performance of our newly introduced Ensemble Docking with Enhanced sampling of pocket Shape (EDES) protocol coupled to a template-based algorithm to generate near-nat…

q-bio.BM20207 cited

Protein-protein modelling using cryo-EM restraints

Mikael Trellet, Gydo van Zundert, Alexandre M. J. J. Bonvin

The recent improvements in cryo-electron microscopy (cryo-EM) in the past few years are now allowing to observe molecular complexes at atomic resolution. As a consequence, numerous…

cs.CE2020

Deep-learning enhancement of large scale numerical simulations

Caspar van Leeuwen, Damian Podareanu, Valeriu Codreanu +11

Traditional simulations on High-Performance Computing (HPC) systems typically involve modeling very large domains and/or very complex equations. HPC systems allow running large mod…