AIMC Topic: Drug Repositioning
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Relation extraction from DailyMed structured product labels by optimally combining crowd, experts and machines.
Journal of biomedical informatics
Sep 1, 2021
The effectiveness of machine learning models to provide accurate and consistent results in drug discovery and clinical decision support is strongly dependent on the quality of the data used. However, substantive amounts of open data that drive drug d...
LUNAR :Drug Screening for Novel Coronavirus Based on Representation Learning Graph Convolutional Network.
IEEE/ACM transactions on computational biology and bioinformatics
Aug 6, 2021
An outbreak of COVID-19 that began in late 2019 was caused by a novel coronavirus(SARS-CoV-2). It has become a global pandemic. As of June 9, 2020, it has infected nearly 7 million people and killed more than 400,000, but there is no specific drug. T...
Recent trends in artificial intelligence-driven identification and development of anti-neurodegenerative therapeutic agents.
Molecular diversity
Jul 19, 2021
Neurological disorders affect various aspects of life. Finding drugs for the central nervous system is a very challenging and complex task due to the involvement of the blood-brain barrier, P-glycoprotein, and the drug's high attrition rates. The ava...
Recent advances in drug repurposing using machine learning.
Current opinion in chemical biology
Jul 16, 2021
Drug repurposing aims to find new uses for already existing and approved drugs. We now provide a brief overview of recent developments in drug repurposing using machine learning alongside other computational approaches for comparison. We also highlig...
Machine learning approach to discovery of small molecules with potential inhibitory action against vasoactive metalloproteases.
Molecular diversity
Jul 3, 2021
With the advancement of combinatorial chemistry and big data, drug repositioning has boomed. In this sense, machine learning and artificial intelligence techniques offer a priori information to identify the most promising candidates. In this study, w...
Drug repurposing: Iron in the fire for older drugs.
Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie
Jun 18, 2021
Repositioning or "repurposing" of existing therapies for indications of alternative disease is an attractive approach that can generate lower costs and require a shorter approval time than developing a de novo drug. The development of experimental dr...
Modern computational intelligence based drug repurposing for diabetes epidemic.
Diabetes & metabolic syndrome
Jun 18, 2021
BACKGROUND AND AIM: Objectives are to explore recent advances in discovery of new antidiabetic agents using repurposing strategies and to discuss modern technologies used for drug repurposing highlighting diabetic specific web portal.
Prediction of drug efficacy from transcriptional profiles with deep learning.
Nature biotechnology
Jun 17, 2021
Drug discovery focused on target proteins has been a successful strategy, but many diseases and biological processes lack obvious targets to enable such approaches. Here, to overcome this challenge, we describe a deep learning-based efficacy predicti...
In silico drug repositioning using deep learning and comprehensive similarity measures.
BMC bioinformatics
Jun 1, 2021
BACKGROUND: Drug repositioning, meanings finding new uses for existing drugs, which can accelerate the processing of new drugs research and development. Various computational methods have been presented to predict novel drug-disease associations for ...
Machine learning techniques applied to the drug design and discovery of new antivirals: a brief look over the past decade.
Expert opinion on drug discovery
May 7, 2021
: Drug design and discovery of new antivirals will always be extremely important in medicinal chemistry, taking into account known and new viral diseases that are yet to come. Although machine learning (ML) have shown to improve predictions on the bi...
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