[HTML][HTML] A comprehensive review of artificial intelligence and network based approaches to drug repurposing in Covid-19
Conventional drug discovery and development is tedious and time-taking process; because
of which it has failed to keep the required pace to mitigate threats and cater demands of viral …
of which it has failed to keep the required pace to mitigate threats and cater demands of viral …
Artificial intelligence and internet of things (AI-IoT) technologies in response to COVID-19 pandemic: A systematic review
The origin of the COVID-19 pandemic has given overture to redirection, as well as
innovation to many digital technologies. Even after the progression of vaccination efforts …
innovation to many digital technologies. Even after the progression of vaccination efforts …
Therapeutic target database update 2022: facilitating drug discovery with enriched comparative data of targeted agents
Drug discovery relies on the knowledge of not only drugs and targets, but also the
comparative agents and targets. These include poor binders and non-binders for developing …
comparative agents and targets. These include poor binders and non-binders for developing …
[HTML][HTML] Transcriptomics-based network medicine approach identifies metformin as a repurposable drug for atrial fibrillation
Effective drugs for atrial fibrillation (AF) are lacking, resulting in significant morbidity and
mortality. This study demonstrates that network proximity analysis of differentially expressed …
mortality. This study demonstrates that network proximity analysis of differentially expressed …
A comprehensive review of drug repurposing strategies against known drug targets of COVID-19
Drug repurposing is a more inexpensive and shorter approach than the traditional drug
discovery and development process. The concept of identifying a potent molecule from a …
discovery and development process. The concept of identifying a potent molecule from a …
Virtual patients, digital twins and causal disease models: paving the ground for in silico clinical trials
P Moingeon, M Chenel, C Rousseau, E Voisin… - Drug discovery today, 2023 - Elsevier
Highlights•Predictive computational models are useful to complement clinical trials.•Disease
models that infer causality in pathophysiology have been produced.•Quantitative System …
models that infer causality in pathophysiology have been produced.•Quantitative System …
[HTML][HTML] Drug repurposing: a network-based approach to amyotrophic lateral sclerosis
The continuous adherence to the conventional “one target, one drug” paradigm has failed so
far to provide effective therapeutic solutions for heterogeneous and multifactorial diseases …
far to provide effective therapeutic solutions for heterogeneous and multifactorial diseases …
Repurposing drugs for the treatment of COVID-19 and its cardiovascular manifestations
RS Wang, J Loscalzo - Circulation research, 2023 - Am Heart Assoc
COVID-19 is an infectious disease caused by SARS-CoV-2 leading to the ongoing global
pandemic. Infected patients developed a range of respiratory symptoms, including …
pandemic. Infected patients developed a range of respiratory symptoms, including …
Drug repositioning with GraphSAGE and clustering constraints based on drug and disease networks
The understanding of therapeutic properties is important in drug repositioning and drug
discovery. However, chemical or clinical trials are expensive and inefficient to characterize …
discovery. However, chemical or clinical trials are expensive and inefficient to characterize …