scispace - formally typeset
M

Miguel Romero-Durana

Researcher at Barcelona Supercomputing Center

Publications -  14
Citations -  488

Miguel Romero-Durana is an academic researcher from Barcelona Supercomputing Center. The author has contributed to research in topics: Biology & Docking (molecular). The author has an hindex of 6, co-authored 10 publications receiving 368 citations. Previous affiliations of Miguel Romero-Durana include Spanish National Research Council & University of La Rioja.

Papers
More filters
Journal ArticleDOI

Prediction of homoprotein and heteroprotein complexes by protein docking and template-based modeling: A CASP-CAPRI experiment.

Marc F. Lensink, +104 more
- 01 Jun 2016 - 
TL;DR: Results show that the prediction of homodimer assemblies by homology modeling techniques and docking calculations is quite successful for targets featuring large enough subunit interfaces to represent stable associations, and that docking procedures tend to perform better than standard homology modeled techniques.
Journal ArticleDOI

Community-wide Evaluation of Methods for Predicting the Effect of Mutations on Protein-Protein Interactions

Rocco Moretti, +71 more
- 01 Nov 2013 - 
TL;DR: A community‐wide assessment of methods to predict the effects of mutations on protein–protein interactions found that large‐scale fitness landscapes should continue to provide an excellent test bed for continued evaluation of both existing and new prediction methodologies.
Journal ArticleDOI

Blind prediction of homo- and hetero-protein complexes: The CASP13-CAPRI experiment.

Marc F. Lensink, +111 more
- 14 Oct 2019 - 
TL;DR: CAPRI Round 46 indicates that residues in binding interfaces were less well predicted in this set of targets than in previous Rounds, providing useful insights for directions of future improvements.
Journal ArticleDOI

LightDock: a new multi-scale approach to protein–protein docking

TL;DR: A new multi-scale protein-protein docking methodology, LightDock, capable of accommodating conformational flexibility and a variety of scoring functions at different resolution levels is described, which yielded improved predictive results with respect to state-of-the-art rigid-body docking.
Journal ArticleDOI

Expanding the frontiers of protein–protein modeling: From docking and scoring to binding affinity predictions and other challenges

TL;DR: This CAPRI edition included new challenges, like protein–water and protein–sugar interactions, or the prediction of binding affinities and ΔΔG changes upon mutation, which showed high rates of correctly classified mutations for all cases.