The molecular basis of the anticancer effect of statins
G Buccioli, C Testa, E Jacchetti, P Pinoli, S Carelli… - Scientific Reports, 2024 - nature.com
Statins, widely used cardiovascular drugs that lower cholesterol by inhibiting HMG-CoA
reductase, have been increasingly recognized for their potential anticancer properties. This …
reductase, have been increasingly recognized for their potential anticancer properties. This …
Uncovering hidden therapeutic indications through drug repurposing with graph neural networks and heterogeneous data
A Ayuso-Muñoz, L Prieto-Santamaría… - Artificial Intelligence in …, 2023 - Elsevier
Drug repurposing has gained the attention of many in the recent years. The practice of
repurposing existing drugs for new therapeutic uses helps to simplify the drug discovery …
repurposing existing drugs for new therapeutic uses helps to simplify the drug discovery …
Exploring NCATS in-house biomedical data for evidence-based drug repurposing
Drug repurposing is a strategy for identifying new uses of approved or investigational drugs
that are outside the scope of the original medical indication. Even though many repurposed …
that are outside the scope of the original medical indication. Even though many repurposed …
Identifying patterns to uncover the importance of biological pathways on known drug repurposing scenarios
B Otero-Carrasco, E Ugarte Carro, L Prieto-Santamaría… - BMC genomics, 2024 - Springer
Background Drug repurposing plays a significant role in providing effective treatments for
certain diseases faster and more cost-effectively. Successful repurposing cases are mostly …
certain diseases faster and more cost-effectively. Successful repurposing cases are mostly …
REDIRECTION: Generating drug repurposing hypotheses using link prediction with DISNET data
AA Muñoz, EU Carro, LP Santamaría… - 2022 IEEE 35th …, 2022 - ieeexplore.ieee.org
In recent years and due to COVID-19 pandemic, drug repurposing or repositioning has been
placed in the spotlight. Giving new therapeutic uses to already existing drugs, this discipline …
placed in the spotlight. Giving new therapeutic uses to already existing drugs, this discipline …
Eboca: Evidences for biomedical concepts association ontology
AÁ Pérez, A Iglesias-Molina, LP Santamaría… - International Conference …, 2022 - Springer
There is a large number of online documents data sources available nowadays. The lack of
structure and the differences between formats are the main difficulties to automatically …
structure and the differences between formats are the main difficulties to automatically …
The method predicting interaction between protein targets and small-molecular ligands with the wide applicability domain
DA Karasev, BN Sobolev, AA Lagunin… - … biology and chemistry, 2022 - Elsevier
Prediction of protein-ligand interaction is necessary for drug design, gene regulatory
networks investigation, and chemical probes detection. The existing methods commonly …
networks investigation, and chemical probes detection. The existing methods commonly …
Machine Learning Applications for Drug Repurposing
B Yingngam - Artificial Intelligence and Machine Learning in …, 2024 - Wiley Online Library
Machine learning (ML) is revolutionizing drug repurposing, offering a more efficient, cost‐
effective approach to drug discovery by identifying new therapeutic uses for existing drugs …
effective approach to drug discovery by identifying new therapeutic uses for existing drugs …
Repositioning drugs for rare diseases based on biological features and computational approaches
B Otero-Carrasco, L Prieto Santamaría, E Ugarte Carro… - Healthcare, 2022 - mdpi.com
Rare diseases are a group of uncommon diseases in the world population. To date, about
7000 rare diseases have been documented. However, most of them do not have a known …
7000 rare diseases have been documented. However, most of them do not have a known …
Protein sequence analysis in the context of drug repurposing
N García Sánchez, E Ugarte Carro… - BMC Medical Informatics …, 2024 - Springer
Motivation Drug repurposing speeds up the development of new treatments, being less
costly, risky, and time consuming than de novo drug discovery. There are numerous …
costly, risky, and time consuming than de novo drug discovery. There are numerous …