AI Medical Compendium Topic

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Databases, Pharmaceutical

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Semantic Web Ontology and Data Integration: a Case Study in Aiding Psychiatric Drug Repurposing.

Studies in health technology and informatics
There remain significant difficulties selecting probable candidate drugs from existing databases. We describe an ontology-oriented approach to represent the nexus between genes, drugs, phenotypes, symptoms, and diseases from multiple information sour...

Conceptual Knowledge Discovery in Databases for Drug Combinations Predictions in Malignant Melanoma.

Studies in health technology and informatics
The worldwide incidence of melanoma is rising faster than any other cancer, and prognosis for patients with metastatic disease is poor. Current targeted therapies are limited in their durability and/or effect size in certain patient populations due t...

Prediction of bioactive peptides using artificial neural networks.

Methods in molecular biology (Clifton, N.J.)
Peptides are molecules of varying complexity, with different functions in the organism and with remarkable therapeutic interest. Predicting peptide activity by computational means can help us to understand their mechanism of action and deliver powerf...

A general ANN-based multitasking model for the discovery of potent and safer antibacterial agents.

Methods in molecular biology (Clifton, N.J.)
Bacteria have been one of the world's most dangerous and deadliest pathogens for mankind, nowadays giving rise to significant public health concerns. Given the prevalence of these microbial pathogens and their increasing resistance to existing antibi...

Classification models of HCV NS3 protease inhibitors based on support vector machine (SVM).

Combinatorial chemistry & high throughput screening
Inhibition of the hepatitis C virus (HCV) non-structural protein 3 (NS3) serine protease by molecule inhibitors is an attractive strategy for the treatment of hepatitis C. We built four classification models based on a dataset of 413 HCV NS3 protease...