DTI-MLCD: predicting drug-target interactions using multi-label learning with community detection method
出版年份 2020 全文链接
标题
DTI-MLCD: predicting drug-target interactions using multi-label learning with community detection method
作者
关键词
-
出版物
BRIEFINGS IN BIOINFORMATICS
Volume -, Issue -, Pages -
出版商
Oxford University Press (OUP)
发表日期
2020-08-11
DOI
10.1093/bib/bbaa205
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- SPVec: A Word2vec-Inspired Feature Representation Method for Drug-Target Interaction Prediction
- (2020) Yu-Fang Zhang et al. Frontiers in Chemistry
- Coupled matrix–matrix and coupled tensor–matrix completion methods for predicting drug–target interactions
- (2020) Maryam Bagherian et al. BRIEFINGS IN BIOINFORMATICS
- Computational Model Development of Drug-Target Interaction Prediction: A Review
- (2019) Qi Zhao et al. CURRENT PROTEIN & PEPTIDE SCIENCE
- Predicting Drug-Target Interaction Network Using Deep Learning Model
- (2019) Jiaying You et al. COMPUTATIONAL BIOLOGY AND CHEMISTRY
- DeepConv-DTI: Prediction of drug-target interactions via deep learning with convolution on protein sequences
- (2019) Ingoo Lee et al. PLoS Computational Biology
- Predicting Drug–Target Interaction Using a Novel Graph Neural Network with 3D Structure-Embedded Graph Representation
- (2019) Jaechang Lim et al. Journal of Chemical Information and Modeling
- Comparison of Target Features for Predicting Drug-Target Interactions by Deep Neural Network Based on Large-Scale Drug-Induced Transcriptome Data
- (2019) Hanbi Lee et al. Pharmaceutics
- Predicting Drug-Target Interactions With Multi-Label Classification and Label Partitioning
- (2019) Konstantinos Pliakos et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- Drug-Target Interactions: Prediction Methods and Applications
- (2018) Shanmugam Anusuya et al. CURRENT PROTEIN & PEPTIDE SCIENCE
- RFDT: A Rotation Forest-based Predictor for Predicting Drug-Target Interactions Using Drug Structure and Protein Sequence Information
- (2018) Lei Wang et al. CURRENT PROTEIN & PEPTIDE SCIENCE
- Binary relevance for multi-label learning: an overview
- (2018) Min-Ling Zhang et al. Frontiers of Computer Science
- Deep learning-based transcriptome data classification for drug-target interaction prediction
- (2018) Lingwei Xie et al. BMC GENOMICS
- BE-DTI’: Ensemble framework for drug target interaction prediction using dimensionality reduction and active learning
- (2018) Aman Sharma et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Recent advances in the machine learning-based drug-target interaction prediction
- (2018) Wen Zhang et al. CURRENT DRUG METABOLISM
- Machine Learning for Drug-Target Interaction Prediction
- (2018) Ruolan Chen et al. MOLECULES
- Predicting drug-target interactions using Lasso with random forest based on evolutionary information and chemical structure
- (2018) Han Shi et al. GENOMICS
- UniProt: a worldwide hub of protein knowledge
- (2018) NUCLEIC ACIDS RESEARCH
- The Pfam protein families database in 2019
- (2018) Sara El-Gebali et al. NUCLEIC ACIDS RESEARCH
- Drug-Target Interaction Prediction with Graph Regularized Matrix Factorization
- (2017) Ali Ezzat et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- Identification of drug-target interactions via multiple information integration
- (2017) Yijie Ding et al. INFORMATION SCIENCES
- Deep-Learning-Based Drug–Target Interaction Prediction
- (2017) Ming Wen et al. JOURNAL OF PROTEOME RESEARCH
- Drug-target interaction prediction using ensemble learning and dimensionality reduction
- (2017) Ali Ezzat et al. METHODS
- Prediction of Drug–Target Interaction Networks from the Integration of Protein Sequences and Drug Chemical Structures
- (2017) Fan-Rong Meng et al. MOLECULES
- Drug-Target Interaction Prediction through Label Propagation with Linear Neighborhood Information
- (2017) Wen Zhang et al. MOLECULES
- DrugRPE: Random projection ensemble approach to drug-target interaction prediction
- (2017) Jun Zhang et al. NEUROCOMPUTING
- A network integration approach for drug-target interaction prediction and computational drug repositioning from heterogeneous information
- (2017) Yunan Luo et al. Nature Communications
- iDTI-ESBoost: Identification of Drug Target Interaction Using Evolutionary and Structural Features with Boosting
- (2017) Farshid Rayhan et al. Scientific Reports
- SELF-BLM: Prediction of drug-target interactions via self-training SVM
- (2017) Jongsoo Keum et al. PLoS One
- DrugE-Rank: improving drug–target interaction prediction of new candidate drugs or targets by ensemble learning to rank
- (2016) Qingjun Yuan et al. BIOINFORMATICS
- Drug-target interaction prediction via class imbalance-aware ensemble learning
- (2016) Ali Ezzat et al. BMC BIOINFORMATICS
- Predicting drug target interactions using meta-path-based semantic network analysis
- (2016) Gang Fu et al. BMC BIOINFORMATICS
- A multiple kernel learning algorithm for drug-target interaction prediction
- (2016) André C. A. Nascimento et al. BMC BIOINFORMATICS
- How Is a Data-Driven Approach Better than Random Choice in Label Space Division for Multi-Label Classification?
- (2016) Piotr Szymański et al. Entropy
- Boosting compound-protein interaction prediction by deep learning
- (2016) Kai Tian et al. METHODS
- Prediction of drug–target interaction by label propagation with mutual interaction information derived from heterogeneous network
- (2016) Xiao-Ying Yan et al. Molecular BioSystems
- Drug–target interaction prediction from PSSM based evolutionary information
- (2016) Zaynab Mousavian et al. JOURNAL OF PHARMACOLOGICAL AND TOXICOLOGICAL METHODS
- Neighborhood Regularized Logistic Matrix Factorization for Drug-Target Interaction Prediction
- (2016) Yong Liu et al. PLoS Computational Biology
- Identification of drug–target interaction from interactome network with ‘guilt-by-association’ principle and topology features
- (2015) Zhan-Chao Li et al. BIOINFORMATICS
- Improving compound–protein interaction prediction by building up highly credible negative samples
- (2015) Hui Liu et al. BIOINFORMATICS
- DT-Web: a web-based application for drug-target interaction and drug combination prediction through domain-tuned network-based inference
- (2015) Salvatore Alaimo et al. BMC Systems Biology
- Drug–target interaction prediction: databases, web servers and computational models
- (2015) Xing Chen et al. BRIEFINGS IN BIOINFORMATICS
- Drug–target interaction prediction through domain-tuned network-based inference
- (2013) Salvatore Alaimo et al. BIOINFORMATICS
- Predicting drug-target interactions using restricted Boltzmann machines
- (2013) Yuhao Wang et al. BIOINFORMATICS
- A Review on Multi-Label Learning Algorithms
- (2013) Min-Ling Zhang et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Network-Based Drug Ranking and Repositioning with Respect to DrugBank Therapeutic Categories
- (2013) Matteo Re et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- Predicting Drug–Target Interactions Using Probabilistic Matrix Factorization
- (2013) Murat Can Cobanoglu et al. Journal of Chemical Information and Modeling
- Predicting drug–target interaction networks of human diseases based on multiple feature information
- (2013) Weiming Yu et al. PHARMACOGENOMICS
- Drug Target Prediction and Repositioning Using an Integrated Network-Based Approach
- (2013) Dorothea Emig et al. PLoS One
- Identification of chemogenomic features from drug-target interaction networks using interpretable classifiers
- (2012) Y. Tabei et al. BIOINFORMATICS
- Predicting drug-target interactions from chemical and genomic kernels using Bayesian matrix factorization
- (2012) M. Gonen BIOINFORMATICS
- Drug–target interaction prediction by learning from local information and neighbors
- (2012) Jian-Ping Mei et al. BIOINFORMATICS
- PaDEL-DDPredictor: Open-source software for PD-PK-T prediction
- (2012) Yuye He et al. JOURNAL OF COMPUTATIONAL CHEMISTRY
- Comparative evaluation of community detection algorithms: a topological approach
- (2012) Günce Keziban Orman et al. JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT
- Drug–target interaction prediction by random walk on the heterogeneous network
- (2012) Xing Chen et al. Molecular BioSystems
- Classification Models for Predicting Cytochrome P450 Enzyme-Substrate Selectivity
- (2012) Tao Zhang et al. Molecular Informatics
- Integrating Spectral Kernel Learning and Constraints in Semi-Supervised Classification
- (2012) Fanhua Shang et al. NEURAL PROCESSING LETTERS
- Prediction of Drug-Target Interactions and Drug Repositioning via Network-Based Inference
- (2012) Feixiong Cheng et al. PLoS Computational Biology
- Gaussian interaction profile kernels for predicting drug–target interaction
- (2011) Twan van Laarhoven et al. BIOINFORMATICS
- Modelling of inquiry diagnosis for coronary heart disease in traditional Chinese medicine by using multi-label learning
- (2011) Guo-Ping Liu et al. BMC Complementary and Alternative Medicine
- Classifier chains for multi-label classification
- (2011) Jesse Read et al. MACHINE LEARNING
- Drug-target interaction prediction from chemical, genomic and pharmacological data in an integrated framework
- (2010) Y. Yamanishi et al. BIOINFORMATICS
- Semi-supervised drug-protein interaction prediction from heterogeneous biological spaces
- (2010) Zheng Xia et al. BMC Systems Biology
- The map equation
- (2010) M. Rosvall et al. European Physical Journal-Special Topics
- Random k-Labelsets for Multilabel Classification
- (2010) Grigorios Tsoumakas et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Extended-Connectivity Fingerprints
- (2010) David Rogers et al. Journal of Chemical Information and Modeling
- Supervised prediction of drug–target interactions using bipartite local models
- (2009) Kevin Bleakley et al. BIOINFORMATICS
- PubChem as a Source of Polypharmacology
- (2009) Bin Chen et al. Journal of Chemical Information and Modeling
- Protein-ligand interaction prediction: an improved chemogenomics approach
- (2008) Laurent Jacob et al. BIOINFORMATICS
- Prediction of drug-target interaction networks from the integration of chemical and genomic spaces
- (2008) Y. Yamanishi et al. BIOINFORMATICS
- Pybel: a Python wrapper for the OpenBabel cheminformatics toolkit
- (2008) Noel M O'Boyle et al. Chemistry Central Journal
- Fast unfolding of communities in large networks
- (2008) Vincent D Blondel et al. JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started