Novel drug-target interactions via link prediction and network embedding

Novel drug-target interactions via link prediction and network embedding

Abstract Background As many interactions between the chemical and genomic space remain undiscovered, computational methods able to identify potential drug-target interactions (DTIs) are employed to accelerate drug discovery and reduce the required cost. Predicting new DTIs can leverage drug repurpos...

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Bibliographic Details
Main Authors: E. Amiri Souri, R. Laddach, S. N. Karagiannis, L. G. Papageorgiou, S. Tsoka
Format: Article
Language:English
Published: BMC 2022-04-01
Series:BMC Bioinformatics
Subjects:
Machine learning
Graph-embedding
Drug repurposing
Link prediction
Online Access:https://doi.org/10.1186/s12859-022-04650-w

Internet

https://doi.org/10.1186/s12859-022-04650-w

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