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Comparison of Target Features for Predicting Drug-Target Interactions by Deep Neural Network Based on Large-Scale Drug-Induced Transcriptome Data

Uncovering drug-target interactions (DTIs) is pivotal to understand drug mode-of-action (MoA), avoid adverse drug reaction (ADR), and seek opportunities for drug repositioning (DR). For decades, in silico predictions for DTIs have largely depended on structural information of both targets and compou...

詳細記述

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書誌詳細
出版年:Pharmaceutics
主要な著者: Lee, Hanbi, Kim, Wankyu
フォーマット: Artigo
言語:Inglês
出版事項: MDPI 2019
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC6723794/
https://ncbi.nlm.nih.gov/pubmed/31382356
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/pharmaceutics11080377
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