Drug repositioning: A bibliometric analysis

G Sun, D Dong, Z Dong, Q Zhang, H Fang… - Frontiers in …, 2022 - frontiersin.org
Drug repurposing has become an effective approach to drug discovery, as it offers a new
way to explore drugs. Based on the Science Citation Index Expanded (SCI-E) and Social …

Investigating the potential anticancer activities of antibiotics as topoisomerase II inhibitors and DNA intercalators: in vitro, molecular docking, molecular dynamics, and …

F Farouk, AA Elmaaty, A Elkamhawy… - Journal of Enzyme …, 2023 - Taylor & Francis
Abstract Topoisomerase II (TOP-2) is a promising molecular target for cancer therapy.
Numerous antibiotics could interact with biologically relevant macromolecules and provoke …

BBMRI-ERIC as a resource for pharmaceutical and life science industries: the development of biobank-based Expert Centres

GJB van Ommen, O Törnwall, C Bréchot… - European Journal of …, 2015 - nature.com
Biological resources (cells, tissues, bodily fluids or biomolecules) are considered essential
raw material for the advancement of health-related biotechnology, for research and …

Prediction of drug–disease associations based on reinforcement symmetric metric learning and graph convolution network

H Luo, C Zhu, J Wang, G Zhang, J Luo… - Frontiers in …, 2024 - frontiersin.org
Accurately identifying novel indications for drugs is crucial in drug research and discovery.
Traditional drug discovery is costly and time-consuming. Computational drug repositioning …

Network based approach to drug discovery: a mini review

P Li, Y Fu, Y Wang - Mini reviews in medicinal chemistry, 2015 - ingentaconnect.com
With the rapid development of high-throughput genomic technologies and the accumulation
of genome-wide datasets for human disease, it has been shown that using only …

Realizing drug repositioning by adapting a recommendation system to handle the process

MG Ozsoy, T Özyer, F Polat, R Alhajj - BMC bioinformatics, 2018 - Springer
Background Drug repositioning is the process of identifying new targets for known drugs. It
can be used to overcome problems associated with traditional drug discovery by adapting …

RepCOOL: computational drug repositioning via integrating heterogeneous biological networks

G Fahimian, J Zahiri, SS Arab, RH Sajedi - Journal of Translational …, 2020 - Springer
Background It often takes more than 10 years and costs more than 1 billion dollars to
develop a new drug for a particular disease and bring it to the market. Drug repositioning …

[HTML][HTML] A data-driven methodology towards evaluating the potential of drug repurposing hypotheses

LP Santamaría, EU Carro, MD Uzquiano… - Computational and …, 2021 - Elsevier
Drug repurposing has become a widely used strategy to accelerate the process of finding
treatments. While classical de novo drug development involves high costs, risks, and time …

Prediction of drugs having opposite effects on disease genes in a directed network

H Yu, S Choo, J Park, J Jung, Y Kang, D Lee - BMC systems biology, 2016 - Springer
Background Develo** novel uses of approved drugs, called drug repositioning, can
reduce costs and times in traditional drug development. Network-based approaches have …

cando. py: Open source software for predictive bioanalytics of large scale drug–protein–disease data

W Mangione, Z Falls, G Chopra… - Journal of chemical …, 2020 - ACS Publications
Traditional drug discovery methods focus on optimizing the efficacy of a drug against a
single biological target of interest for a specific disease. However, evidence supports the …