Riccardo Concu

Probing the toxicity of nanoparticles: a unified <i>in silico</i> machine learning model based on perturbation theory

Riccardo Concu, Valeria V. Kleandrova, Alejandro Speck‐Planche et al. · Nanotoxicology · 2017 · 126 citations

Pharmacy, Toxicology, Computational Chemistry +16

Prediction of Enzyme Classes from 3D Structure: A General Model and Examples of Experimental-Theoretic Scoring of Peptide Mass Fingerprints of <i>Leishmania</i> Proteins

Riccardo Concu, María Auxiliadora Dea‐Ayuela, Lázaro G. Pérez‐Montoto et al. · Journal of Proteome Research · 2009 · 77 citations

Life Sciences, Biochemistry, Bioinformatics +14

3D entropy and moments prediction of enzyme classes and experimental-theoretic study of peptide fingerprints in Leishmania parasites

Riccardo Concu, María Auxiliadora Dea‐Ayuela, Lázaro G. Pérez‐Montoto et al. · Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics · 2009 · 58 citations

Life Sciences, Biochemistry, Molecular Biology +9

Computational chemistry study of 3D‐structure‐function relationships for enzymes based on Markov models for protein electrostatic, HINT, and van der Waals potentials

Riccardo Concu, Gianni Podda, Eugenio Uriarte et al. · Journal of Computational Chemistry · 2008 · 46 citations

Life Sciences, Biochemistry, Bioinformatics +14

PTML Model of Enzyme Subclasses for Mining the Proteome of Biofuel Producing Microorganisms

Riccardo Concu, M. Natália D. S. Cordeiro, Cristian R. Munteanu et al. · Journal of Proteome Research · 2019 · 40 citations

Life Sciences, Biochemistry, Bioinformatics +16