AIMC Topic: Drug Repositioning

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Time-resolved evaluation of compound repositioning predictions on a text-mined knowledge network.

BMC bioinformatics Dec 11, 2019
BACKGROUND: Computational compound repositioning has the potential for identifying new uses for existing drugs, and new algorithms and data source aggregation strategies provide ever-improving results via in silico metrics. However, even with these a...
Machine Learning Algorithms Reproducibility of Results Humans Time Factors Computational Biology Drug Repositioning Knowledge Bases Data Mining Disease
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Identification of repurposable drugs with beneficial effects on glucose control in type 2 diabetes using machine learning.

Pharmacology research & perspectives Nov 20, 2019
Despite effective medications, rates of uncontrolled glucose levels in type 2 diabetes remain high. We aimed to test the utility of machine learning applied to big data in identifying the potential role of concomitant drugs not taken for diabetes whi...
Blood Glucose Diabetes Mellitus, Type 2 Prostatic Hyperplasia Male Big Data Adrenergic alpha-1 Receptor Antagonists Drug Repositioning Glycated Hemoglobin Data Mining Humans Machine Learning Electronic Health Records
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A Bayesian machine learning approach for drug target identification using diverse data types.

Nature communications Nov 19, 2019
Drug target identification is a crucial step in development, yet is also among the most complex. To address this, we develop BANDIT, a Bayesian machine-learning approach that integrates multiple data types to predict drug binding targets. Integrating...
Humans Machine Learning Bayes Theorem Drug Discovery Antineoplastic Agents Drug Repositioning Drug Delivery Systems Neoplasms
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The assessment of efficient representation of drug features using deep learning for drug repositioning.

BMC bioinformatics Nov 14, 2019
BACKGROUND: De novo drug discovery is a time-consuming and expensive process. Nowadays, drug repositioning is utilized as a common strategy to discover a new drug indication for existing drugs. This strategy is mostly used in cases with a limited num...
Humans Pharmaceutical Preparations Deep Learning Disease Drug Repositioning Principal Component Analysis Area Under Curve
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Rethinking Drug Repositioning and Development with Artificial Intelligence, Machine Learning, and Omics.

Omics : a journal of integrative biology Oct 25, 2019
Pharmaceutical industry and the art and science of drug development are sorely in need of novel transformative technologies in the current age of digital health and artificial intelligence (AI). Often described as game-changing technologies, AI and m...
Artificial Intelligence Machine Learning Drug Repositioning Genomics Algorithms Computational Biology Reproducibility of Results Models, Theoretical Drug Discovery
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Analysis of defective pathways and drug repositioning in Multiple Sclerosis via machine learning approaches.

Computers in biology and medicine Oct 9, 2019
BACKGROUND: Although some studies show that there could be a genetic predisposition to develop Multiple Sclerosis (MS), attempts to find genetic signatures related to MS diagnosis and development are extremely rare.
Oligonucleotide Array Sequence Analysis Databases, Nucleic Acid Models, Immunological Humans Metabolic Networks and Pathways Machine Learning Signal Transduction Multiple Sclerosis Retrospective Studies Drug Repositioning Gene Expression Regulation Female Male
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EK-DRD: A Comprehensive Database for Drug Repositioning Inspired by Experimental Knowledge.

Journal of chemical information and modeling Sep 3, 2019
Drug repositioning, or the identification of new indications for approved therapeutic drugs, has gained substantial traction with both academics and pharmaceutical companies because it reduces the cost and duration of the drug development pipeline an...
Knowledge Bases Data Mining Small Molecule Libraries Databases, Pharmaceutical Animals Drug Design Drug Repositioning Humans Software
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Predicting Drug-Disease Associations via Using Gaussian Interaction Profile and Kernel-Based Autoencoder.

BioMed research international Aug 27, 2019
Computational drug repositioning, designed to identify new indications for existing drugs, significantly reduced the cost and time involved in drug development. Prediction of drug-disease associations is promising for drug repositioning. Recent years...
Drug Repositioning Alzheimer Disease Humans Databases, Factual Machine Learning Computer Simulation Computational Biology
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Improved Prediction of Drug-Target Interactions Using Self-Paced Learning with Collaborative Matrix Factorization.

Journal of chemical information and modeling Jul 11, 2019
Identifying drug-target interactions (DTIs) plays an important role in the field of drug discovery, drug side-effects, and drug repositioning. However, in vivo or biochemical experimental methods for identifying new DTIs are extremely expensive and t...
Computational Biology Machine Learning Drug Repositioning Drug Discovery Drug-Related Side Effects and Adverse Reactions
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HyperFoods: Machine intelligent mapping of cancer-beating molecules in foods.

Scientific reports Jul 3, 2019
Recent data indicate that up-to 30-40% of cancers can be prevented by dietary and lifestyle measures alone. Herein, we introduce a unique network-based machine learning platform to identify putative food-based cancer-beating molecules. These have bee...
Food Analysis Drug Repositioning Humans Metabolic Networks and Pathways Food Neoplasms Artificial Intelligence Databases, Factual Antineoplastic Agents Diet
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