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Novel drug-target interactions via link prediction and network ...
BMC Bioinformatics
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BMC Bioinformatics
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由 E Amiri Souri 著作2022被引用 19 次 — The link prediction methodology employs the following stages: (1) creation of a drug-drug similarity network (2) creation of a protein–protein ...
Novel drug-target interactions via link prediction and ...
National Institutes of Health (NIH) (.gov)
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National Institutes of Health (NIH) (.gov)
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由 EA Souri 著作2022被引用 19 次 — The proposed method was able to integrate and map chemical and genomic space into low-dimensional dense vectors and showed promising results ...
(PDF) Novel drug-target interactions via link prediction and ...
ResearchGate
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ResearchGate
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A key issue is that most DTI predictions suffer from the lack of experimentally validated negative interactions or limited availability of target 3D structures.
[PDF] Novel drug-target interactions via link prediction and ...
Semantic Scholar
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Semantic Scholar
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This work presents the first approach that addresses prediction between drugs and targets across six interaction types, and shows promising results in ...
Novel drug-target interactions via link prediction and network ...
stjohnsresearch.org
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stjohnsresearch.org
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Novel drug-target interactions via link prediction and network embedding. by admin | Dec 18, 2024. Search. Search. Recent Posts. Recent Comments.
(PDF) DTi2Vec: Drug–target interaction prediction using ...
ResearchGate
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ResearchGate
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2024年12月9日 — DTi2Vec demonstrated its ability in drug–target link prediction compared to several state-of-the-art network-based methods, using four benchmark ...
Drug–target interaction prediction using knowledge graph ...
ScienceDirect.com
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ScienceDirect.com
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由 N Li 著作2024被引用 2 次 — In this paper, we propose TTModel, a knowledge graph embedding model for DTI prediction. By exploiting biomedical text and type information, TTModel can learn ...
DTi2Vec: Drug–target interaction prediction using network ...
Journal of Cheminformatics
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Journal of Cheminformatics
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由 MA Thafar 著作2021被引用 57 次 — DTi2Vec is a simple yet effective method that provides high DTI prediction performance while being scalable and efficient in computation.
A Drug-Target Interaction Graph For Inductive Link Prediction
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2024年11月13日 — Drug-target interaction (DTI) prediction is crucial for identifying new therapeutics and detecting mechanisms of action.
DTiGEMS+: drug–target interaction prediction using graph ...
Deutsche Nationalbibliothek
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Deutsche Nationalbibliothek
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由 MA Thafar 著作2020被引用 125 次 — Network-based methods formulate the prediction of DTIs as link prediction problem in a heterogeneous graph [19–21, 34–38]. For example, DASPfind [19] constructs ...