Network-Based Methods for Prediction of Drug-Target Interactions
نویسندگان
چکیده
منابع مشابه
Prediction of Drug-Target Interactions and Drug Repositioning via Network-Based Inference
Drug-target interaction (DTI) is the basis of drug discovery and design. It is time consuming and costly to determine DTI experimentally. Hence, it is necessary to develop computational methods for the prediction of potential DTI. Based on complex network theory, three supervised inference methods were developed here to predict DTI and used for drug repositioning, namely drug-based similarity i...
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Small drug molecules usually bind to multiple protein targets or even unintended off-targets. Such drug promiscuity has often led to unwanted or unexplained drug reactions, resulting in side effects or drug repositioning opportunities. So it is always an important issue in pharmacology to identify potential drug-target interactions (DTI). However, DTI discovery by experiment remains a challengi...
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MOTIVATION The identification of drug-target interaction (DTI) represents a costly and time-consuming step in drug discovery and design. Computational methods capable of predicting reliable DTI play an important role in the field. Recently, recommendation methods relying on network-based inference (NBI) have been proposed. However, such approaches implement naive topology-based inference and do...
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Drug-target interaction (DTI) provides novel insights about the genomic drug discovery. The wet experiments of identifying DTIs are time-consuming and costly. Recently, the increase of available data provides the opportunity to the development of computational methods. Although many computational methods have been proposed (such as classification-based methods, graph-based methods and network-b...
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MOTIVATION In silico prediction of drug-target interactions from heterogeneous biological data is critical in the search for drugs for known diseases. This problem is currently being attacked from many different points of view, a strong indication of its current importance. Precisely, being able to predict new drug-target interactions with both high precision and accuracy is the holy grail, a f...
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ژورنال
عنوان ژورنال: Frontiers in Pharmacology
سال: 2018
ISSN: 1663-9812
DOI: 10.3389/fphar.2018.01134