Novel drug-target interactions via link prediction and network embedding

Novel drug-target interactions via link prediction and network embedding

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 repurposing by i...

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Bibliographic Details
Main Authors: Amiri Souri, E. (Author), Karagiannis, S.N (Author), Laddach, R. (Author), Papageorgiou, L.G (Author), Tsoka, S. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2022
Subjects:
algorithm
Algorithms
chemistry
drug interaction
Drug interactions
Drug Interactions
drug repositioning
Drug Repositioning
Drug repurposing
Drug-target interactions
Embeddings
Forecasting
Genomics
Graph embeddings
Graph-embedding
Interaction prediction
Link networks
Link prediction
Low dimensional
Machine learning
molecular docking
Molecular Docking Simulation
Negative interaction
protein
Proteins
Repurposing
Tensors
Trees (mathematics)
Vector spaces
Online Access:View Fulltext in Publisher

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