SAveRUNNER is a recently developed network-based tool to efficiently identify novel medical indications for currently approved drugs (known as drug repurposing strategy). Up to now, SAveRUNNER has been gainfully applied to unveil repurposable solutions for several diseases, including viral infection (e.g., SARS, COVID-19, HIV, Malaria, Ebola), breast cancer, progressive disorders of central nervous system (e.g., Amyotrophic Lateral Sclerosis, Multiple Sclerosis), and other neurodegenerative diseases (e.g., Alzheimer's Disease). Here, SAveRUNNER algorithm and its main applications are described.

A network-based algorithm for identifying drug repurposing opportunities for complex diseases / Fiscon, G.; Conte, F.; Paci, P.. - (2023). (Intervento presentato al convegno 8th National Congress of Bioengineering, GNB 2023 tenutosi a Padova).

A network-based algorithm for identifying drug repurposing opportunities for complex diseases

Fiscon G.
Primo
;
Paci P.
Ultimo
2023

Abstract

SAveRUNNER is a recently developed network-based tool to efficiently identify novel medical indications for currently approved drugs (known as drug repurposing strategy). Up to now, SAveRUNNER has been gainfully applied to unveil repurposable solutions for several diseases, including viral infection (e.g., SARS, COVID-19, HIV, Malaria, Ebola), breast cancer, progressive disorders of central nervous system (e.g., Amyotrophic Lateral Sclerosis, Multiple Sclerosis), and other neurodegenerative diseases (e.g., Alzheimer's Disease). Here, SAveRUNNER algorithm and its main applications are described.
2023
8th National Congress of Bioengineering, GNB 2023
Drug Repurposing; Network Medicine; Network Theory
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
A network-based algorithm for identifying drug repurposing opportunities for complex diseases / Fiscon, G.; Conte, F.; Paci, P.. - (2023). (Intervento presentato al convegno 8th National Congress of Bioengineering, GNB 2023 tenutosi a Padova).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1692565
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