Gianluigi LAURO | Curriculum
Gianluigi LAURO Curriculum
GENERAL INFORMATION
Date of birth: 08/31/1986 Nationality: Italian e-mail: glauro@unisa.it
Telephone +393880470019; 089/969124, 089/969176
Researcher ID: B-1946-2015 Scopus Author ID: 54682066300
ResearchGate: https://www.researchgate.net/profile/Gianluigi_Lauro
LinkedIn: https://www.linkedin.com/in/gianluigi-lauro-368468100/
Website: www.computorgchem.unisa.it
CURRENT POSITION
Associate Professor at Department of Pharmacy, University of Salerno.
EDUCATION
02/21/2013: University of Salerno, Italy: PhD in “Scienza e Tecnologia dell’Industria Chimica, Farmaceutica ed Alimentare” (Curriculum: Scienze Farmaceutiche – Pharmaceutical Sciences), Faculty of Pharmacy, University of Salerno. Tutor: prof. Giuseppe Bifulco.
May 2012 - Oct 2012: PhD External experience - Structural Biology and Computational Chemistry - PRBB (Barcelona Biomedical Research Park, Universitat Pompeu Fabra) Barcelona, Spain. Tutor: prof. Gianni De Fabritiis.
07/27/2009: University of Naples “Federico II”, Naples, Italy: Degree in Pharmaceutical Chemistry and Technology, July 2009. Final grade 110/110 with honours and merit (summa cum laude). Graduation thesis project on synthesis and characterization of peptides and peptidomimetics at Faculty of Medicinal Chemistry, Dept. Pharmaceutical and Tox. Chemistry, University of Napoli “Federico II”. Acquired skills application of chromatographic techniques. Tutor: prof. Paolo Grieco.
WORKING EXPERIENCE
October 2023 – to date: Associate Professor at Department of Pharmacy, University of Salerno.
October 2020 – September 2023: Assistant Professor (RTD/B) - Department of Pharmacy, University of Salerno.
December 2018 – September 2020: Research fellow (RTD/A) - Department of Pharmacy, University of Salerno.
August 2016 – December 2018: Research fellow (AIRC Funding), Department of Pharmacy, University of Salerno. Tutor: prof. Giuseppe Bifulco.
April 2016: Visiting Scientist - prof. Wen Zhang’s research group - Second Military Medical University, Research Center for Marine Drugs, School of Pharmacy – Shanghai – People's Republic of China
July 2013 – June 2016: Research fellow (AIRC Funding), Department of Pharmacy, University of Salerno. Tutor: prof. Giuseppe Bifulco.
September 2009 – February 2010: Stage at Pharmaceutical Company “DSM” in Capua (Caserta) in Quality Assurance
2008-2009: Training at Municipal Pharmacy in Pomigliano D’Arco (Napoli)
RESPONSABILITIES IN RESEARCH PROJECTS
January 2018 - September 2023: Principal Investigator (PI) of the "My First AIRC Grant" (MFAG 2017, 5 years) funded by the AIRC Foundation for Cancer Research (total funded amount: Euro 450,000.00). Research project entitled: "Identification of novel anti-leukemia agents targeting the bromodomain of BRD9" (MFAG Code 2017 - 20160)”
October 18, 2023 – to date: Principal Investigator (PI) of the PRIN 2022 Project 2022RCTY7M "BiTMaP -Coupling the power of bioinformatics and experimental tools for accelerating the production, structural elucidation, and target identification of marine natural products" (MIUR Grant for Total Research: Euro 190,158.00, MIUR Contribution for Research to the Unit for which prof. Lauro is Responsible: Euro 114,095.
TECHNICAL SKILLS AND COMPETENCES
- Computatational chemistry: molecular docking experiments and drug design of bioactive molecules; prediction and rationalization of the binding mode of novel compounds with high affinity for the biological targets (BET proteins (brd4), brd9, mPGES-1, COXs, LOXs, BAG3, FXR, PXR).
- Identification of the interacting targets of bioactive compounds using the Inverse Virtual Screening computational approach. This method represents a fast and advantageous tool in the field of the natural (and synthetic) compounds, for which only small amounts are normally available for the evaluation of the biological activities. The identification of the most promising targets of interest of the bioactive compounds is performed analyzing the trends of the predicted binding energies on the proteins and taking into account specific algorithms.
- Molecular Dynamics simulations in order to clarify at a molecular level the dynamic of targets/ligands binding events, and for the prediction of the ligand-protein binding affinities (Linear Interaction Energy, mm-GB/PBSA methods) in the field of the Virtual Screening.
- Determination of the relative and absolute configurations of natural compounds by means of quantum chemical calculations, comparing experimental and predicted of NMR parameters (1H, 13C spectra) and ECD spectra.
