Results 21 to 30 of about 8,194,450 (255)
Predicting Drug-Target Interactions for New Drug Compounds Using a Weighted Nearest Neighbor Profile. [PDF]
PLoS ONE, 2013 In silico discovery of interactions between drug compounds and target proteins is of core importance for improving the efficiency of the laborious and costly experimental determination of drug-target interaction.
Twan van Laarhoven, Elena Marchiori
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BMC Bioinformatics, 2021 Background Wet-lab experiments for identification of interactions between drugs and target proteins are time-consuming, costly and labor-intensive. The use of computational prediction of drug–target interactions (DTIs), which is one of the significant ...
Ali Ghanbari Sorkhi +3 more
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A Novel Deep Neural Network Technique for Drug–Target Interaction
Pharmaceutics, 2022 Drug discovery (DD) is a time-consuming and expensive process. Thus, the industry employs strategies such as drug repositioning and drug repurposing, which allows the application of already approved drugs to treat a different disease, as occurred in the ...
Jackson G. de Souza +2 more
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Machine learning for Drug-Target Interaction Prediction
, 2022 This thesis proposes deep learning frameworks to learn and decode the drug"target interaction. The deep learning model is inspired by the drug"target interaction mechanism and exploits a rich external data resource.
Minh Tri Nguyen (16927608)
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MOESM1 of DASPfind: new efficient method to predict drugâ target interactions
, 2016 Additional file 1. This file includes the following: a) Pseudocode of DASPfind algorithm; b) 10-fold cross validation for different methods; c) detailed comparison between NRWRH and DASPfind; d) all â top 1â predictions for each data set used in our study.
Ba-Alawi, Wail +4 more
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A semi-supervised method for drug-target interaction prediction with consistency in networks. [PDF]
PLoS ONE, 2013 Computational prediction of interactions between drugs and their target proteins is of great importance for drug discovery and design. The difficulties of developing computational methods for the prediction of such potential interactions lie in the ...
Hailin Chen, Zuping Zhang
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Drug Target Commons 2.0 : a community platform for systematic analysis of drug target interaction profiles [PDF]
, 2018 Drug Target Commons (DTC) is a web platform (database with user interface) for community-driven bioactivity data integration and standardization for comprehensive mapping, reuse and analysis of compound-target interaction profiles.
Wennerberg, Krister +9 more
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BMC Bioinformatics, 2022 Predicting drug–target interactions (DTIs) has become an important bioinformatics issue because it is one of the critical and preliminary stages of drug repositioning.
Reza Hassanzadeh +1 more
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Drug-drug interactions in the hospital [PDF]
, 2007 Introduction Drug interaction screening programs are an important tool to check prescriptions of multiple drugs for potential drug-drug interactions (pDDIs). Several programs are available on the market.
Vonbach, Priska
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Computational Discovery of Putative Leads for Drug Repositioning through Drug-Target Interaction Prediction. [PDF]
PLoS Computational Biology, 2016 De novo experimental drug discovery is an expensive and time-consuming task. It requires the identification of drug-target interactions (DTIs) towards targets of biological interest, either to inhibit or enhance a specific molecular function.
Edgar D Coelho +2 more
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