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UID:calendar.23932.field_data.0@oba.diag.uniroma1.it
DTSTAMP:20260407T202320Z
CREATED:20211130T181838Z
DESCRIPTION:Seminario di Giulia Fiscon\, vincitrice procedura selettiva RTD
 -A per il SSD ING-INF/06.In ottemperanza ai requisiti previsti dalla proce
 dura selettiva di cui al bando 5/2021 del 12/10/2021\, per il reclutamento
  di n. 1 ricercatore con rapporto di lavoro a tempo determinato di tipolog
 ia “A”\, con regime di impegno a tempo pieno\, settore scientifico- ING-IN
 F/06\, settore concorsuale 09/G2\, presso il Dipartimento di Ingegneria In
 formatica Automatica e Gestionale “Antonio Ruberti”\, venerdi 3/12/2021 al
 le ore 15.00 in aula A2 si terrà il seminario di Giulia Fiscon\, vincitric
 e della procedura\, che illustrerà le sua attività di ricerca svolta e in 
 corso di svolgimento.Il seminario sarà anche trasmesso in modalità telemat
 ica su Zoom. Per partecipare da remoto connettersi all'indirizzo seguente:
  https://uniroma1.zoom.us/j/81834006054?pwd=N3FBSEtKRHBkVnhiY2xtQVd0V1VvUT
 09(Meeting ID: 818 3400 6054\, Passcode: 702707) *Abstract*The seminary wi
 ll be about the main research activity carried out by Giulia Fiscon in the
  last years regarding Network Medicine and Drug Repositioning (DR). DR is 
 the process of reusing an ‘old drug’ for new therapeutic purposes and appe
 ars as a powerful solution for emerging diseases\, such as COVID-19\, sinc
 e it allows to shorten the time and reduce the cost compared to de novo dr
 ug discovery. In this context\, this seminary will cover the presentation 
 of a network-based tool for drug repurposing called SAveRUNNER (Searching 
 off-lAbel dRUg aNd NEtwoRk)\, developed with the aim to offer a promising 
 framework to efficiently detect putative novel indications for currently m
 arketed drugs against diseases of interest. SAveRUNNER predicts drug-disea
 se associations by quantifying the interplay between the drug targets and 
 the disease-associated proteins in the human interactome through the compu
 tation of a novel network-based similarity measure\, which prioritizes ass
 ociations between drugs and diseases located in the same network neighborh
 oods. SAveRUNNER was successfully applied to predict off-label drugs to be
  repositioned against the new human coronavirus (2019-nCoV/SARS-CoV-2)\, a
 nd it achieved high accuracy in the identification of well-known drug indi
 cations\, thus revealing itself as a powerful tool to rapidly detect poten
 tial novel medical indications for various drugs that are worthy of furthe
 r investigation. *Biosketch*Giulia Fiscon holds a degree summa cum laude i
 n Biomedical Engineering at Campus Bio-Medico University of Rome in 2012 a
 nd a PhD in Engineering in Computer Science at Department of Computer\, Co
 ntrol and Management Engineering of Sapienza University of Rome in 2016. F
 rom the end of 2015 to Sept 2020\, she was a post-doctoral researcher in t
 he bioinformatics and system biology group of the Institute for Systems An
 alysis and Computer Science “A. Ruberti” (IASI) of National Research Counc
 il (CNR) in Rome. In last year\, she was a research collaborator at Founda
 tion for Personalized Medicine (FMP) and a post-doctoral researcher at the
  Department of Computer\, Control and Management Engineering of Sapienza U
 niversity of Rome. Her research interests are in the area of biological co
 mplex system study. In particular\, she works in the field of bioinformati
 cs\, computational biology\, and network medicine. 
DTSTART;TZID=Europe/Paris:20211130T191500
DTEND;TZID=Europe/Paris:20211130T191500
LAST-MODIFIED:20220321T172903Z
LOCATION:Aula A2 (DIAG)
SUMMARY:A network-based algorithm for drug repurposing and its application 
 to COVID-19. - Giulia Fiscon
URL;TYPE=URI:http://oba.diag.uniroma1.it/node/23932
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