COMPUTATIONAL BIOLOGY - Key Persons


Dr. Daniele Toti

Job Titles:
  • Senior Research Scientist
  • Webmaster
Ph.D. in Computer Science and Engineering from Roma Tre University; CPE from the University of Cambridge; Oracle and Sun Certified Professional. Post-doctoral researcher at Roma Tre University and University of Salerno (2013-2017). Currently serving as a Tenure-Track Assistant Professor at the Catholic University of the Sacred Heart. His research activity revolves around semantic knowledge discovery from unstructured biomedical sources and development of advanced bioinformatics solutions and tools. He participated in the PRAISED, ASSIST, LIBRA, LIBRAWA, DockingApp and DockingApp RF projects.

Elena Di Muzio

Job Titles:
  • Master in Science in Bioinformatics
Master in Science in Bioinformatics from the University of Rome "Tor Vergata". Her Ph.D. project was focused on virtual screening for protein function annotation and drug discovery. She worked on the development of an automated pipeline for the in silico screening of large libraries of compounds by docking techniques with the final aim of identifying novel antibacterial lead compounds.

Fabio Polticelli

Job Titles:
  • Principal Investigator
  • Professor of Biochemistry
Head of the Lab of Theoretical Biology and Bioinformatics since 2004. Ph.D. in Biochemistry from the Sapienza University of Rome (1993); post-doctoral fellow in the Radiobiology Unit of the Medical Research Council (Didcot, UK; 1994) and in the Department of Biochemistry and Molecular Biophysics of the Columbia University (New York, USA; 1998-2000). Since 1995 he is at the Department of Sciences of Roma Tre University.

Gabriele Macari

Job Titles:
  • Master in Science in Bioinformatics
Master in Science in Bioinformatics from Tor Vergata University. His Ph.D. project revolves around the development of bioinformatics solutions and tools for rational drug design, molecular docking and binding site prediction. His expertise includes programming skills (Python), scripting (Bash), molecular dynamics simulations and docking.

Le Viet Hung

Job Titles:
  • Master in Science in Applied Mathematics
Master in Science in Applied Mathematics and Ph.D. in Biomolecular Sciences from Roma Tre University. His research activity involved the development of software tools for the prediction of the catalytic activity and ligand binding properties of unknown function proteins. He participated in the development of the Java-based applications ASSIST and LIBRA.

Silvia Caprari

Job Titles:
  • Master in Science in Biology
Master in Science in Biology and Ph.D. in Biomolecular Sciences from Roma Tre University. Her main research activity concerned the prediction of the structural and functional properties of unknown function proteins encoded by the human pathogen Pseudomonas aeruginosa. Main techniques included ab initio protein structure prediction, homology modeling and docking.

Valentina Brandi

Job Titles:
  • Master in Science in Biology
Master in Science in Biology from Roma Tre University. Her Ph.D. project was focused on the study of structural and functional properties of huntingtin, a protein of great biomedical importance. It involved ab initio molecular modeling and molecular docking techniques.

Valentina Tortosa

Job Titles:
  • Master in Science in Biology
Master in Science in Biology from Roma Tre University. Her Ph.D. project was focused on the study of structural and functional properties of the major facilitator superfamily (MFS). Changes in function, expression, or localization of MFS transporters are associated with various human diseases. Main techniques included molecular dynamics simulation and molecular docking techniques.

Viale G. Marconi

Job Titles:
  • Department of Sciences