AIMC Topic: Drug Repositioning

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ANTENNA, a Multi-Rank, Multi-Layered Recommender System for Inferring Reliable Drug-Gene-Disease Associations: Repurposing Diazoxide as a Targeted Anti-Cancer Therapy.

IEEE/ACM transactions on computational biology and bioinformatics Mar 16, 2018
Existing drug discovery processes follow a reductionist model of "one-drug-one-gene-one-disease," which is inadequate to tackle complex diseases involving multiple malfunctioned genes. The availability of big omics data offers opportunities to transf...
Drug Repositioning Data Mining Diazoxide Algorithms Reproducibility of Results Antineoplastic Agents Cell Line, Tumor Computational Biology Cell Survival Humans Machine Learning Software
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Repurposing High-Throughput Image Assays Enables Biological Activity Prediction for Drug Discovery.

Cell chemical biology Mar 1, 2018
In both academia and the pharmaceutical industry, large-scale assays for drug discovery are expensive and often impractical, particularly for the increasingly important physiologically relevant model systems that require primary cells, organoids, who...
Humans Neural Networks, Computer Machine Learning Image Processing, Computer-Assisted Drug Repositioning High-Throughput Screening Assays Neoplasms Antineoplastic Agents Cell Line, Tumor
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Drug Target Commons: A Community Effort to Build a Consensus Knowledge Base for Drug-Target Interactions.

Cell chemical biology Dec 21, 2017
Knowledge of the full target space of bioactive substances, approved and investigational drugs as well as chemical probes, provides important insights into therapeutic potential and possible adverse effects. The existing compound-target bioactivity d...
Consensus Drug Repositioning Pharmaceutical Preparations Humans Drug Discovery Drug Interactions Knowledge Bases
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Drug Target Prediction by Multi-View Low Rank Embedding.

IEEE/ACM transactions on computational biology and bioinformatics May 18, 2017
Drug repositioning has been a key problem in drug development, and heterogeneous data sources are used to predict drug-target interactions by different approaches. However, most of studies focus on a single representation of drugs or proteins. It has...
Drug Development Models, Statistical Humans Drug Repositioning Antineoplastic Agents Transcriptome Cell Line, Tumor Machine Learning Algorithms
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Network mirroring for drug repositioning.

BMC medical informatics and decision making May 18, 2017
BACKGROUND: Although drug discoveries can provide meaningful insights and significant enhancements in pharmaceutical field, the longevity and cost that it takes can be extensive where the success rate is low. In order to circumvent the problem, there...
Data Mining Disease Drug Therapy Proteins Drug Repositioning Knowledge Discovery Humans Machine Learning Computational Biology
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Drug repositioning based on triangularly balanced structure for tissue-specific diseases in incomplete interactome.

Artificial intelligence in medicine Mar 22, 2017
Finding new uses for existing drugs has become a new strategy for decades to treat more patients. Few traditional approaches consider the tissue specificities of diseases. Moreover, disease genes, drug targets and protein interaction (PPI) networks r...
Drug Discovery Neural Networks, Computer Liver Neoplasms Databases, Factual Humans Drug Repositioning Carcinoma, Hepatocellular Breast Neoplasms Molecular Targeted Therapy
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Link prediction in drug-target interactions network using similarity indices.

BMC bioinformatics Jan 17, 2017
BACKGROUND: In silico drug-target interaction (DTI) prediction plays an integral role in drug repositioning: the discovery of new uses for existing drugs. One popular method of drug repositioning is network-based DTI prediction, which uses complex ne...
Databases, Factual Computer Simulation Support Vector Machine Drug Repositioning
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Generating Gene Ontology-Disease Inferences to Explore Mechanisms of Human Disease at the Comparative Toxicogenomics Database.

PloS one May 12, 2016
Strategies for discovering common molecular events among disparate diseases hold promise for improving understanding of disease etiology and expanding treatment options. One technique is to leverage curated datasets found in the public domain. The Co...
Databases, Genetic Drug Repositioning Disease Humans Computational Biology Gene Ontology Toxicogenetics
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Drug repositioning for non-small cell lung cancer by using machine learning algorithms and topological graph theory.

BMC bioinformatics Jan 11, 2016
BACKGROUND: Non-small cell lung cancer (NSCLC) is one of the leading causes of death globally, and research into NSCLC has been accumulating steadily over several years. Drug repositioning is the current trend in the pharmaceutical industry for ident...
Carcinoma, Non-Small-Cell Lung Neoplasm Proteins Drug Repositioning Microarray Analysis Machine Learning Gene Expression Regulation, Neoplastic Algorithms Signal Transduction Humans Drug Discovery Models, Theoretical Antineoplastic Agents Lung Neoplasms
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Predicting Drug-Target Interactions via Within-Score and Between-Score.

BioMed research international Oct 12, 2015
Network inference and local classification models have been shown to be useful in predicting newly potential drug-target interactions (DTIs) for assisting in drug discovery or drug repositioning. The idea is to represent drugs, targets, and their int...
Drug Discovery Models, Theoretical Drug Repositioning Principal Component Analysis Algorithms Reproducibility of Results Data Interpretation, Statistical Humans Drug Delivery Systems Drug Industry Artificial Intelligence
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