Alessandro Di Domizio

Alessandro Di Domizio, Ph.D.
INSTITUTION / COMPANY: 

Università degli Studi di Milano-Bicocca

WORK POSITION: 

Scientific collaborator

WORKSHOP / CONFERENCE ASSIGNEMENT: 

Speaker

Alessandro Di Domizio is an algorithm and software developer devoted to the development of new technologies for Drug Discovery and Development.

He graduated in Chemical Sciences (Computational Physical Chemistry) in 2006 from the University of Milan, with a thesis on Initial Events in Protein Folding.

During the academic years, he built up a multidisciplinary curriculum covering various subjects, from bioinformatics to statistical thermodynamics and physics of proteins, with the aim of getting a wider view of the problems concerning proteins and other complex systems. In 2009 obtained a PhD in Chemical Sciences (Computational Physical Chemistry) from the University of Milano-Bicocca, with a thesis on New Methodologies for Molecular Docking and their Applications.

During the entire period of study he invested considerable time attending specialized courses which enabled him to master scientific programming. He subsequently collaborated with the University of Milano-Bicocca and the University of Milan working at cluster analysis as well as industrial protein engineering.

From 2011 to 2013 worked at the 'National Research Council' (CNR), Italy, on the optimization of antitumorigenic molecules and other projects of interest to both basic research and industry. In 2013, while working as a scientific collaborator for the University of Milano- Bicocca and the University of Milan, he started the SPILLO Project (www.spilloproject.com) with the aim of supporting public and private research centres for the optimization and acceleration of the Drug R&D process by using in silico technologies.

Amongst others, the innovative software SPILLO-PBSS, conceived and implemented by him, plays a central role in drug repositioning, in polypharmacology as well as in the prediction and/or clarification of side effects.

SPILLO-PBSS has already been presented at several International Conferences and has been published in the Journal of Computational Chemistry (2014).

TOPIC: Prediction of off-target-based toxicologic effects with SPILLO-PBSS

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