AIMC Topic: Drug Repositioning

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Deep Learning in the Quest for Compound Nomination for Fighting COVID-19.

Current medicinal chemistry Jan 1, 2021
The current COVID-19 pandemic initiated an unprecedented response from clinicians and the scientific community in all relevant biomedical fields. It created an incredible multidimensional data-rich framework in which deep learning proved instrumental...
SARS-CoV-2 Deep Learning Drug Repositioning Humans Pandemics COVID-19
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Deep learning of pharmacogenomics resources: moving towards precision oncology.

Briefings in bioinformatics Dec 1, 2020
The recent accumulation of cancer genomic data provides an opportunity to understand how a tumor's genomic characteristics can affect its responses to drugs. This field, called pharmacogenomics, is a key area in the development of precision oncology....
Genomics Drug Repositioning Medical Oncology Humans Neoplasms Precision Medicine Deep Learning Pharmacogenetics
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Application of machine intelligence technology in the detection of vaccines and medicines for SARS-CoV-2.

European review for medical and pharmacological sciences Nov 1, 2020
Researchers have found many similarities between the 2003 severe acute respiratory syndrome (SARS) virus and SARS-CoV-19 through existing data that reveal the SARS's cause. Artificial intelligence (AI) learning models can be created to predict drug s...
Deep Learning Antiviral Agents COVID-19 Vaccines Artificial Intelligence Machine Learning COVID-19 Immunosuppressive Agents Drug Repositioning Vitamins Drug Development Antibodies, Monoclonal, Humanized Drug Combinations Humans Lopinavir Chloroquine Hydroxychloroquine COVID-19 Drug Treatment Adenosine Monophosphate Ribavirin Alanine Ascorbic Acid Ritonavir
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Artificial intelligence, drug repurposing and peer review.

Nature biotechnology Oct 1, 2020
Pandemics Peer Review Computational Biology Drug Repositioning COVID-19 Drug Treatment Humans Artificial Intelligence
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Revealing new therapeutic opportunities through drug target prediction: a class imbalance-tolerant machine learning approach.

Bioinformatics (Oxford, England) Aug 15, 2020
MOTIVATION: In silico drug target prediction provides valuable information for drug repurposing, understanding of side effects as well as expansion of the druggable genome. In particular, discovery of actionable drug targets is critical to developing...
Drug Repositioning Computer Simulation Computational Biology Machine Learning
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deepDR: a network-based deep learning approach to in silico drug repositioning.

Bioinformatics (Oxford, England) Dec 15, 2019
MOTIVATION: Traditional drug discovery and development are often time-consuming and high risk. Repurposing/repositioning of approved drugs offers a relatively low-cost and high-efficiency approach toward rapid development of efficacious treatments. T...
Software Computational Biology Computer Simulation Drug Repositioning Deep Learning
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[Artificial Intelligence-based Drug Discovery and Drug Repositioning].

Brain and nerve = Shinkei kenkyu no shinpo Sep 1, 2019
The methodologies of computational drug discovery and drug repositioning (DR) based on biomolecular profile information are reviewed systematically. For big data drug discovery and DR, 1) methods of comparing gene expression profiles of the diseased ...
Artificial Intelligence Drug Discovery Drug Repositioning
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Drug knowledge bases and their applications in biomedical informatics research.

Briefings in bioinformatics Jul 19, 2019
Recent advances in biomedical research have generated a large volume of drug-related data. To effectively handle this flood of data, many initiatives have been taken to help researchers make good use of them. As the results of these initiatives, many...
Social Media Drug Repositioning Drug Interactions Drug-Related Side Effects and Adverse Reactions Knowledge Bases Data Mining Algorithms Computational Biology Drug Development Humans Machine Learning Systems Integration Databases, Pharmaceutical Pharmacogenomic Testing
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GOF/LOF knowledge inference with tensor decomposition in support of high order link discovery for gene, mutation and disease.

Mathematical biosciences and engineering : MBE Feb 20, 2019
For discovery of new usage of drugs, the function type of their target genes plays an important role, and the hypothesis of "Antagonist-GOF" and "Agonist-LOF" has laid a solid foundation for supporting drug repurposing. In this research, an active ge...
Lymphoma Drug Repositioning Mutation Humans Molecular Sequence Annotation Recombinant Proteins Machine Learning Genetic Variation Genetic Diseases, Inborn Models, Genetic Cost-Benefit Analysis Software Interleukin-2 Receptor alpha Subunit Interleukin-2 Myelodysplastic Syndromes Algorithms
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Tripartite Network-Based Repurposing Method Using Deep Learning to Compute Similarities for Drug-Target Prediction.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2019
The drug discovery process is conventionally regarded as resource intensive and complex. Therefore, research effort has been put into a process called drug repositioning with the use of computational methods. Similarity-based methods are common in pr...
Drug Repositioning Algorithms Humans Databases, Pharmaceutical Drug Discovery Neural Networks, Computer Deep Learning
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