Cargando…

DrugRep-HeSiaGraph: when heterogenous siamese neural network meets knowledge graphs for drug repurposing

BACKGROUND: Drug repurposing is an approach that holds promise for identifying new therapeutic uses for existing drugs. Recently, knowledge graphs have emerged as significant tools for addressing the challenges of drug repurposing. However, there are still major issues with constructing and embeddin...

Descripción completa

Detalles Bibliográficos
Autores principales:	Ghorbanali, Zahra, Zare-Mirakabad, Fatemeh, Salehi, Najmeh, Akbari, Mohammad, Masoudi-Nejad, Ali
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2023
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10548718/ https://www.ncbi.nlm.nih.gov/pubmed/37789314 http://dx.doi.org/10.1186/s12859-023-05479-7

Ejemplares similares

DrugRep: an automatic virtual screening server for drug repurposing
por: Gan, Jian-hong, et al.
Publicado: (2022)

BioAct-Het: A Heterogeneous Siamese Neural Network for Bioactivity Prediction Using Novel Bioactivity Representation
por: Paykan Heyrati, Mehdi, et al.
Publicado: (2023)

Drug discovery through Covid-19 genome sequencing with siamese graph convolutional neural network
por: Pati, Soumen Kumar, et al.
Publicado: (2023)

Drug repurposing for COVID-19 via knowledge graph completion
por: Zhang, Rui, et al.
Publicado: (2021)

Task-driven knowledge graph filtering improves prioritizing drugs for repurposing
por: Ratajczak, Florin, et al.
Publicado: (2022)

A computational approach to drug repurposing using graph neural networks
por: Doshi, Siddhant, et al.
Publicado: (2022)

Drug repurposing and prediction of multiple interaction types via graph embedding
por: Amiri Souri, E., et al.
Publicado: (2023)

SGAT: Shuffle and graph attention based Siamese networks for visual tracking
por: Wang, Jun, et al.
Publicado: (2022)

Drug Therapeutic-Use Class Prediction and Repurposing Using Graph Convolutional Networks
por: Chipofya, Mapopa, et al.
Publicado: (2021)

GCMM: graph convolution network based on multimodal attention mechanism for drug repurposing
por: Zhang, Fan, et al.
Publicado: (2022)

Toward heterogeneous information fusion: bipartite graph convolutional networks for in silico drug repurposing
por: Wang, Zichen, et al.
Publicado: (2020)

Drug repurposing for COVID-19 using graph neural network and harmonizing multiple evidence
por: Hsieh, Kanglin, et al.
Publicado: (2021)

An Integrative Heterogeneous Graph Neural Network–Based Method for Multi-Labeled Drug Repurposing
por: Sadeghi, Shaghayegh, et al.
Publicado: (2022)

Biomedical knowledge graph learning for drug repurposing by extending guilt-by-association to multiple layers
por: Bang, Dongmin, et al.
Publicado: (2023)

RepTB: a gene ontology based drug repurposing approach for tuberculosis
por: Passi, Anurag, et al.
Publicado: (2018)

A fuzzy logic-based computational method for the repurposing of drugs against COVID-19
por: Masoudi-Sobhanzadeh, Yosef, et al.
Publicado: (2022)

Drug repurposing against breast cancer by integrating drug-exposure expression profiles and drug–drug links based on graph neural network
por: Cui, Chen, et al.
Publicado: (2021)

Drug Repurposing for COVID-19 using Graph Neural Network with Genetic, Mechanistic, and Epidemiological Validation
por: Hsieh, Kanglin, et al.
Publicado: (2020)

Controlling astrocyte-mediated synaptic pruning signals for schizophrenia drug repurposing with deep graph networks
por: Gravina, Alessio, et al.
Publicado: (2022)

Molecular-evaluated and explainable drug repurposing for COVID-19 using ensemble knowledge graph embedding
por: Islam, Md Kamrul, et al.
Publicado: (2023)

Prediction of Drug-Drug Interaction Using an Attention-Based Graph Neural Network on Drug Molecular Graphs
por: Feng, Yue-Hua, et al.
Publicado: (2022)

Biomarker prediction in autism spectrum disorder using a network-based approach
por: Rastegari, Maryam, et al.
Publicado: (2023)

Synthetic repurposing of drugs against hypertension: a datamining method based on association rules and a novel discrete algorithm
por: Masoudi-Sobhanzadeh, Yosef, et al.
Publicado: (2020)

A Literature-Based Knowledge Graph Embedding Method for Identifying Drug Repurposing Opportunities in Rare Diseases
por: Sosa, Daniel N., et al.
Publicado: (2020)

Potential Target Discovery and Drug Repurposing for Coronaviruses: Study Involving a Knowledge Graph–Based Approach
por: Lou, Pei, et al.
Publicado: (2023)

Mining on Alzheimer’s diseases related knowledge graph to identity potential AD-related semantic triples for drug repurposing
por: Nian, Yi, et al.
Publicado: (2022)

Analysis of the enzyme network involved in cattle milk production using graph theory
por: Ghorbani, Sholeh, et al.
Publicado: (2015)

Single-cell multi-omics integration for unpaired data by a siamese network with graph-based contrastive loss
por: Liu, Chaozhong, et al.
Publicado: (2023)

Drug-Disease Graph: Predicting Adverse Drug Reaction Signals via Graph Neural Network with Clinical Data
por: Kwak, Heeyoung, et al.
Publicado: (2020)

Active repurposing of drug candidates for melanoma based on GWAS, PheWAS and a wide range of omics data
por: Khosravi, Ali, et al.
Publicado: (2019)

Exploring ceRNA networks for key biomarkers in breast cancer subtypes and immune regulation
por: Shariatmadar Taleghani, Alireza, et al.
Publicado: (2023)

Graph Theory Enables Drug Repurposing – How a Mathematical Model Can Drive the Discovery of Hidden Mechanisms of Action
por: Gramatica, Ruggero, et al.
Publicado: (2014)

Correction: Single-cell multi-omics integration for unpaired data by a siamese network with graph-based contrastive loss
por: Liu, Chaozhong, et al.
Publicado: (2023)

Computational-based drug repurposing methods in COVID-19
por: Masoudi-Sobhanzadeh, Yosef
Publicado: (2020)

Graph Neural Networks to Advance Anticancer Drug Design
por: Rassil, Asmaa, et al.
Publicado: (2020)

Drug resistance prediction for Mycobacterium tuberculosis with reference graphs
por: Hall, Michael B., et al.
Publicado: (2023)

A multimodal deep learning-based drug repurposing approach for treatment of COVID-19
por: Hooshmand, Seyed Aghil, et al.
Publicado: (2020)

The assessment of efficient representation of drug features using deep learning for drug repositioning
por: Moridi, Mahroo, et al.
Publicado: (2019)

DTiGEMS+: drug–target interaction prediction using graph embedding, graph mining, and similarity-based techniques
por: Thafar, Maha A., et al.
Publicado: (2020)

Drug Repositioning with GraphSAGE and Clustering Constraints Based on Drug and Disease Networks
por: Zhang, Yuchen, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_fvr4p6j1eu2k4ga6uh0sv1df61