Antonio Rescifina

S2RSLDB: a comprehensive manually curated, internet-accessible database of the sigma-2 receptor selective ligands

Giovanni Nastasi, Giuseppe Romeo, Carla Miceli, 2017, Journal of Cheminformatics.

Computational Tools in the Discovery of FABP4 Ligands: A Statistical and Molecular Modeling Approach †

Giuseppe Floresta, Antonio Rescifina, Davide Gentile, 2019, Marine drugs.

Heme Oxygenase Database (HemeOxDB) and QSAR Analysis of Isoform 1 Inhibitors

Giuseppe Romeo, Giovanni Nastasi, Valeria Pittalà, 2017, ChemMedChem.

Structure-Based Approach for the Prediction of Mu-opioid Binding Affinity of Unclassified Designer Fentanyl-Like Molecules

Vincenzo Abbate, Giuseppe Floresta, Antonio Rescifina, 2019, International journal of molecular sciences.

Development of a Sigma‐2 Receptor affinity filter through a Monte Carlo based QSAR analysis

Carmela Parenti, Giovanni Nastasi, Giuseppe Floresta, 2017, European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences.

Repurposing of FDA‐Approved Drugs for Treating Iatrogenic Botulism: A Paired 3D‐QSAR/Docking Approach†

Franco Molteni, Giuseppe Floresta, Antonio Rescifina, 2020 .

Hyphenated 3D-QSAR statistical model-scaffold hopping analysis for the identification of potentially potent and selective sigma-2 receptor ligands.

Giuseppe Floresta, Valeria Pittalà, Orazio Prezzavento, 2017, European journal of medicinal chemistry.

Sigma-2 receptor ligands QSAR model dataset

Carmela Parenti, Giovanni Nastasi, Giuseppe Floresta, 2017, Data in brief.