scispace - formally typeset
J

Juan Esquivel-Rodríguez

Researcher at Purdue University

Publications -  23
Citations -  932

Juan Esquivel-Rodríguez is an academic researcher from Purdue University. The author has contributed to research in topics: Macromolecular docking & Protein structure prediction. The author has an hindex of 14, co-authored 22 publications receiving 789 citations. Previous affiliations of Juan Esquivel-Rodríguez include Costa Rica Institute of Technology.

Papers
More filters
Journal ArticleDOI

Community-wide assessment of protein-interface modeling suggests improvements to design methodology

Sarel J. Fleishman, +97 more
TL;DR: A number of designed protein-protein interfaces with very favorable computed binding energies but which do not appear to be formed in experiments are generated, suggesting that there may be important physical chemistry missing in the energy calculations.
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

Molecular surface representation using 3D Zernike descriptors for protein shape comparison and docking.

TL;DR: The 3D Zernike descriptor (3DZD), an emerging technique to describe molecular surfaces, is introduced, a series expansion of mathematical three-dimensional function which allows rapid comparison of surface shapes, which is sufficient for real-time structure database screening.
Journal ArticleDOI

Multi-LZerD: multiple protein docking for asymmetric complexes.

TL;DR: A novel computational multiple protein docking algorithm, Multi‐LZerD, that builds models of multimeric complexes by effectively reusing pairwise docking predictions of component proteins, and was able to predict near‐native structures for multimerics complexes of various topologies.