Cargando…

PPDTS: Predicting potential drug–target interactions based on network similarity

Identification of drug–target interactions (DTIs) has great practical importance in the drug discovery process for known diseases. However, only a small proportion of DTIs in these databases has been verified experimentally, and the computational methods for predicting the interactions remain challe...

Descripción completa

Detalles Bibliográficos
Autores principales:	Wang, Wei, Wang, Yongqing, Zhang, Yu, Liu, Dong, Zhang, Hongjun, Wang, Xianfang
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	John Wiley and Sons Inc. 2021
Materias:	Original Research Papers
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8849239/ https://www.ncbi.nlm.nih.gov/pubmed/34783172 http://dx.doi.org/10.1049/syb2.12037

Ejemplares similares

Prediction of DNA-Binding Protein–Drug-Binding Sites Using Residue Interaction Networks and Sequence Feature
por: Wang, Wei, et al.
Publicado: (2022)

Identification of polycystic ovary syndrome potential drug targets based on pathobiological similarity in the protein-protein interaction network
por: Huang, Hao, et al.
Publicado: (2016)

DLS: A Link Prediction Method Based on Network Local Structure for Predicting Drug-Protein Interactions
por: Wang, Wei, et al.
Publicado: (2020)

Predicting DNA binding protein-drug interactions based on network similarity
por: Wang, Wei, et al.
Publicado: (2020)

Link prediction in drug-target interactions network using similarity indices
por: Lu, Yiding, et al.
Publicado: (2017)

Effective drug–target interaction prediction with mutual interaction neural network
por: Li, Fei, et al.
Publicado: (2022)

Predicting drug–drug interactions through drug structural similarities and interaction networks incorporating pharmacokinetics and pharmacodynamics knowledge
por: Takeda, Takako, et al.
Publicado: (2017)

Drug-Drug Interaction Predicting by Neural Network Using Integrated Similarity
por: Rohani, Narjes, et al.
Publicado: (2019)

Prediction of Drug-Target Interactions for Drug Repositioning Only Based on Genomic Expression Similarity
por: Wang, Kejian, et al.
Publicado: (2013)

Prediction of the Drug–Drug Interaction Types with the Unified Embedding Features from Drug Similarity Networks
por: Yan, Xiao-Ying, et al.
Publicado: (2021)

Investigation of pharmacological mechanism of natural product using pathway fingerprints similarity based on “drug-target-pathway” heterogenous network
por: Guo, Feifei, et al.
Publicado: (2021)

Correction: Prediction of Drug-Target Interactions for Drug Repositioning Only Based on Genomic Expression Similarity
por: Wang, Kejian, et al.
Publicado: (2013)

Prediction of Drug Indications Based on Chemical Interactions and Chemical Similarities
por: Huang, Guohua, et al.
Publicado: (2015)

Dual Attention and Patient Similarity Network for drug recommendation
por: Wu, Jialun, et al.
Publicado: (2023)

Overfit deep neural network for predicting drug-target interactions
por: Xiaolin, Xiao, et al.
Publicado: (2023)

Prediction of drug–target binding affinity using similarity-based convolutional neural network
por: Shim, Jooyong, et al.
Publicado: (2021)

Cascade Deep Forest With Heterogeneous Similarity Measures for Drug–Target Interaction Prediction
por: Zheng, Ying, et al.
Publicado: (2021)

Predicting potential drug-drug interactions on topological and semantic similarity features using statistical learning
por: Kastrin, Andrej, et al.
Publicado: (2018)

Similarity measures-based graph co-contrastive learning for drug–disease association prediction
por: Gao, Zihao, et al.
Publicado: (2023)

Drug–target interaction prediction through domain-tuned network-based inference
por: Alaimo, Salvatore, et al.
Publicado: (2013)

Predicting the Types of Ion Channel-Targeted Conotoxins Based on AVC-SVM Model
por: Xianfang, Wang, et al.
Publicado: (2017)

Detecting Drug–Target Interactions with Feature Similarity Fusion and Molecular Graphs
por: Lin, Xiaoli, et al.
Publicado: (2022)

Predicting Drug-Target Interaction Networks Based on Functional Groups and Biological Features
por: He, Zhisong, et al.
Publicado: (2010)

Heterogeneous network propagation with forward similarity integration to enhance drug–target association prediction
por: Tangmanussukum, Piyanut, et al.
Publicado: (2022)

Predicting Anatomical Therapeutic Chemical (ATC) Classification of Drugs by Integrating Chemical-Chemical Interactions and Similarities
por: Chen, Lei, et al.
Publicado: (2012)

Toward more realistic drug–target interaction predictions
por: Pahikkala, Tapio, et al.
Publicado: (2015)

Network Neighbors of Drug Targets Contribute to Drug Side-Effect Similarity
por: Brouwers, Lucas, et al.
Publicado: (2011)

Drug repositioning based on similarity constrained probabilistic matrix factorization: COVID-19 as a case study
por: Meng, Yajie, et al.
Publicado: (2021)

A simplified similarity-based approach for drug-drug interaction prediction
por: Shtar, Guy, et al.
Publicado: (2023)

Uncovering New Drug Properties in Target-Based Drug–Drug Similarity Networks
por: Udrescu, Lucreţia, et al.
Publicado: (2020)

iGRLDTI: an improved graph representation learning method for predicting drug–target interactions over heterogeneous biological information network
por: Zhao, Bo-Wei, et al.
Publicado: (2023)

Does adding the drug–drug similarity to drug–target interaction prediction methods make a noticeable improvement in their efficiency?
por: Hassanzadeh, Reza, et al.
Publicado: (2022)

SNF-NN: computational method to predict drug-disease interactions using similarity network fusion and neural networks
por: Jarada, Tamer N., et al.
Publicado: (2021)

Refine gene functional similarity network based on interaction networks
por: Tian, Zhen, et al.
Publicado: (2017)

Predicting drug-target interactions from drug structure and protein sequence using novel convolutional neural networks
por: Hu, ShanShan, et al.
Publicado: (2019)

A comparative study of SMILES-based compound similarity functions for drug-target interaction prediction
por: Öztürk, Hakime, et al.
Publicado: (2016)

De Novo Prediction of Drug Targets and Candidates by Chemical Similarity-Guided Network-Based Inference
por: Vigil-Vásquez, Carlos, et al.
Publicado: (2022)

SIGANEO: Similarity network with GAN enhancement for immunogenic neoepitope prediction()
por: Ye, Yilin, et al.
Publicado: (2023)

DTI-Voodoo: machine learning over interaction networks and ontology-based background knowledge predicts drug–target interactions
por: Hinnerichs, Tilman, et al.
Publicado: (2021)

Global potential distribution prediction of Xanthium italicum based on Maxent model
por: Zhang, Yang, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_0a5o9umgc4ujsflebos963ei3b