A Computational Drug Repositioning Method for Rare Diseases
- Belén Otero-Carrasco 1
- Lucía Prieto Santamaría 1
- Esther Ugarte Carro 1
- Juan Pedro Caraça-Valente Hernández 1
- Alejandro Rodríguez-González 1
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1
Universidad Politécnica de Madrid
info
- José Manuel Ferrández Vicente (dir. congr.)
- José Ramón Alvarez Sánchez (dir. congr.)
- Félix de la Paz López (dir. congr.)
- Hojjat Adeli
Publisher: Springer Suiza
ISBN: 978-3-031-06527-9
Year of publication: 2022
Pages: 551-561
Type: Book chapter
Abstract
Rare diseases are a group of unusual pathologies in the world population, hence their name. They are considered the great neglected field of pharmaceutical research. To date, over 6,000 rare diseases have been identified and most of them lack treatment. The fact that they are so rare in the population does not encourage research efforts since their treatments are not in high demand. This work aims to analyze potential drug repositioning strategies that could be applied to these types of diseases. That is, discovering if existing drugs currently used for treating certain diseases can be employed to treat rare diseases. This process has been carried out using computational methods that compute similarities between rare diseases and other diseases, considering biological characteristics such as genes, proteins, and symptoms. The obtained potential drug repositioning hypotheses have been contrasted with related clinical trials found in scientific literature published to date.