A Convolutional Neural Network System to Discriminate Drug-Target Interactions.

08:00 EDT 10th September 2019 | BioPortfolio

Summary of "A Convolutional Neural Network System to Discriminate Drug-Target Interactions."

Biological targets are most commonly proteins such as enzymes, ion channels, and receptors. They are anything within a living organism to bind with some other entities (like an endogenous ligand or a drug), resulting in change in their behaviors or functions. Exploring potential drug-target interactions (DTIs) are crucial for drug discovery and effective drug development. Computational methods were widely applied in drug-target interactions, since experimental methods are extremely time-consuming and resource-intensive. In this paper, we proposed a novel deep learning-based prediction system, with a new negative instance generation, to identify DTIs. As a result, our method achieved an accuracy of 0.9800 on our created dataset. Another dataset derived from DrugBank was used to further assess the generalization of the model, which yielded a good performance with accuracy of 0.8814 and AUC value of 0.9527 on the dataset. The outcome of our experimental results indicated that the proposed method, involving the credible negative generation, can be employed to discriminate the interactions between drugs and targets.


Journal Details

This article was published in the following journal.

Name: IEEE/ACM transactions on computational biology and bioinformatics
ISSN: 1557-9964


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Medical and Biotech [MESH] Definitions

Specific effects of drugs and substances on metabolic pathways such as those occurring through the CYTOCHROME P-450 ENZYME SYSTEM. These include effects that often result in DRUG INTERACTIONS; FOOD-DRUG INTERACTIONS; and HERB-DRUG INTERACTIONS.

The action of a drug that may affect the activity, metabolism, or toxicity of another drug.

Forms to which substances are incorporated to improve the delivery and the effectiveness of drugs. Drug carriers are used in drug-delivery systems such as the controlled-release technology to prolong in vivo drug actions, decrease drug metabolism, and reduce drug toxicity. Carriers are also used in designs to increase the effectiveness of drug delivery to the target sites of pharmacological actions. Liposomes, albumin microspheres, soluble synthetic polymers, DNA complexes, protein-drug conjugates, and carrier erythrocytes among others have been employed as biodegradable drug carriers.

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