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Alessandro Pedretti

Prof. Alessandro Pedretti

Dipartimento di Scienze Farmaceutiche, Università degli Studi di Milano

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Alessandro Pedretti was born in 1970. He received his degree in Medicinal Chemistry at University of Milan in 1995. After PhD studies with Prof. Luigi Villa, he became assistant professor in medicinal chemistry at University of Milan in 2001. In 2015, he became associate professor in medicinal chemistry at the same university. His interests mainly deal with computer programming applied in computational chemistry, realizing novel software tools for molecular modelling, docking analysis, QSAR and virtual screening. More in detail, he developed VEGA ZZ (available at www.vegazz.net), a software package able to build, visualize, optimize and analyze 3D structures. Thanks to its user-friendly graphic interface, this software has a large number of registered users (about 20000), ranging from professional researchers to students, who are approaching the molecular modelling for the first time.

Research Keywords & Expertise

Computational Chemistr...
Drug Design
Medicinal Chemistry
Metabolism
QSAR

Fingerprints

24%
Metabolism
18%
QSAR
17%
Virtual Screening
17%
Prediction Models
6%
Drug Design
6%
molecular docking

Short Biography

Alessandro Pedretti was born in 1970. He received his degree in Medicinal Chemistry at University of Milan in 1995. After PhD studies with Prof. Luigi Villa, he became assistant professor in medicinal chemistry at University of Milan in 2001. In 2015, he became associate professor in medicinal chemistry at the same university. His interests mainly deal with computer programming applied in computational chemistry, realizing novel software tools for molecular modelling, docking analysis, QSAR and virtual screening. More in detail, he developed VEGA ZZ (available at www.vegazz.net), a software package able to build, visualize, optimize and analyze 3D structures. Thanks to its user-friendly graphic interface, this software has a large number of registered users (about 20000), ranging from professional researchers to students, who are approaching the molecular modelling for the first time.