José Ignacio Abreu

Large-scale recognition of high-affinity protease–inhibitor complexes using topological autocorrelation and support vector machines

Shandar Ahmad, Akinori Sarai, Michael Fernández, 2016 .

Proteochemometric Modeling of the Inhibition Complexes of Matrix Metalloproteinases with N‐Hydroxy‐2‐[(Phenylsulfonyl)Amino]Acetamide Derivatives Using Topological Autocorrelation Interaction Matrix and Model Ensemble Averaging

Julio Caballero, Michael Fernández, Leyden Fernández, 2008, Chemical biology & drug design.

Protein radial distribution function (P-RDF) and Bayesian-Regularized Genetic Neural Networks for modeling protein conformational stability: chymotrypsin inhibitor 2 mutants.

Julio Caballero, Michael Fernández, Miguel Garriga, 2007, Journal of molecular graphics & modelling.

Amino acid sequence autocorrelation vectors and bayesian‐regularized genetic neural networks for modeling protein conformational stability: Gene V protein mutants

Julio Caballero, Michael Fernández, Leyden Fernández, 2007, Proteins.