AIMC Topic: Drug Repositioning

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Using artificial intelligence methods to speed up drug discovery.

Expert opinion on drug discovery May 29, 2019
: Drug discovery is the process through which potential new compounds are identified by means of biology, chemistry, and pharmacology. Due to the high complexity of genomic data, AI techniques are increasingly needed to help reduce this and aid the a...
Phenotype Precision Medicine Drug Discovery Drug Repositioning Humans Artificial Intelligence
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Drug repositioning of herbal compounds via a machine-learning approach.

BMC bioinformatics May 29, 2019
BACKGROUND: Drug repositioning, also known as drug repurposing, defines new indications for existing drugs and can be used as an alternative to drug development. In recent years, the accumulation of large volumes of information related to drugs and d...
Phytochemicals Drug Repositioning Pharmaceutical Preparations Models, Biological Phenotype Reproducibility of Results Logistic Models Gene Ontology Machine Learning Algorithms Humans
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DrugR+: A comprehensive relational database for drug repurposing, combination therapy, and replacement therapy.

Computers in biology and medicine May 8, 2019
Drug repurposing or repositioning, which introduces new applications of the existing drugs, is an emerging field in drug discovery scope. To enhance the success rate of the research and development (R&D) process in a cost- and time-effective manner, ...
Internet Supervised Machine Learning Drug Therapy, Combination Humans Databases, Pharmaceutical Drug Repositioning
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Drug repurposing in oncology: Compounds, pathways, phenotypes and computational approaches for colorectal cancer.

Biochimica et biophysica acta. Reviews on cancer Apr 26, 2019
The strategy of using existing drugs originally developed for one disease to treat other indications has found success across medical fields. Such drug repurposing promises faster access of drugs to patients while reducing costs in the long and diffi...
Animals Antineoplastic Agents Drug Repositioning Medical Oncology Machine Learning Phenotype Colorectal Neoplasms Humans
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Exploiting machine learning for end-to-end drug discovery and development.

Nature materials Apr 18, 2019
A variety of machine learning methods such as naive Bayesian, support vector machines and more recently deep neural networks are demonstrating their utility for drug discovery and development. These leverage the generally bigger datasets created from...
Drug Discovery Computational Biology Drug Development Support Vector Machine Algorithms Computer Simulation Drug Design Technology, Pharmaceutical Drug Repositioning Bayes Theorem Nanomedicine Neural Networks, Computer Machine Learning Humans
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Serendipity-A Machine-Learning Application for Mining Serendipitous Drug Usage From Social Media.

IEEE transactions on nanobioscience Apr 4, 2019
Serendipitous drug usage refers to the unexpected relief of comorbid diseases or symptoms when taking medication for a different known indication. Historically, serendipity has contributed significantly to identifying many new drug indications. If pa...
Humans Machine Learning Algorithms Drug Discovery Data Mining Social Media Medical Informatics Drug Repositioning
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Building the drug-GO function network to screen significant candidate drugs for myasthenia gravis.

PloS one Apr 4, 2019
Myasthenia gravis (MG) is an autoimmune disease. In recent years, considerable evidence has indicated that Gene Ontology (GO) functions, especially GO-biological processes, have important effects on the mechanisms and treatments of different diseases...
Glucosamine Carnosine Organometallic Compounds Databases, Pharmaceutical Pharmacogenomic Testing Gene Ontology Myasthenia Gravis Drug Repositioning Thalidomide Zinc Compounds Adalimumab Genetic Association Studies Databases, Genetic Immunosuppressive Agents Humans Etanercept Gene Regulatory Networks
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Predicting drug-target interaction network using deep learning model.

Computational biology and chemistry Mar 25, 2019
BACKGROUND: Traditional methods for drug discovery are time-consuming and expensive, so efforts are being made to repurpose existing drugs. To find new ways for drug repurposing, many computational approaches have been proposed to predict drug-target...
Databases, Chemical Genes, Neoplasm Proteins Databases, Protein Deep Learning Protein Domains Breast Neoplasms Drug Repositioning Protein Binding Amino Acid Sequence Antineoplastic Agents Molecular Structure Computational Biology Models, Chemical Support Vector Machine
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Disease comorbidity-guided drug repositioning: a case study in schizophrenia.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
UNLABELLED: The key to any computational drug repositioning is the availability of relevant data in machine-understandable format. While large amount of genetic, genomic and chemical data are publicly available, large-scale higher-level disease and d...
Databases, Factual Genomics Information Storage and Retrieval Schizophrenia Drug Repositioning Drug Discovery Humans Antipsychotic Agents Knowledge Bases Natural Language Processing Comorbidity Algorithms Phenotype
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Drug Repurposing Prediction for Immune-Mediated Cutaneous Diseases using a Word-Embedding-Based Machine Learning Approach.

The Journal of investigative dermatology Oct 17, 2018
Immune-mediated diseases affect more than 20% of the population, and many autoimmune diseases affect the skin. Drug repurposing (or repositioning) is a cost-effective approach for finding drugs that can be used to treat diseases for which they are cu...
Transcriptome Cohort Studies PubMed ROC Curve Drug Repositioning Immune System Diseases Computational Biology Humans Skin Machine Learning Skin Diseases Algorithms
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