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Table 2 An overview of computational drug repositioning studies, their adopted strategies, computational approaches, main techniques, data sources, key findings, and evaluation metrics

From: A review of computational drug repositioning: strategies, approaches, opportunities, challenges, and directions

Study

Strateg(ies)

Computational approach(es)

Main technique(s)

Data source(s)

Evaluation criteria

Key finding(s)

Genome

Chemical structures

Phenome

Data mining

Machine learning

Network analysis

Hu et al. [123]

\(\checkmark\)

\(\checkmark\)

  

\(\checkmark\)

 

CNN

KEGG and DrugBank

CV, ROC and Comp(Acc, Sen, F1, and AUC)

R-TIs

Han et al. [99]

\(\checkmark\)

 

\(\checkmark\)

\(\checkmark\)

\(\checkmark\)

 

TM, GCN, and MF

OMIM

CV and Comp(MAP, AUC, and NDCG)

D-GAs

Zeng et al. [106]

\(\checkmark\)

 

\(\checkmark\)

 

\(\checkmark\)

 

MM-AE and V-AE

DrugBank, repoDB, and ClinicalTrials.gov

CV, AUC, AUC-PR, and Comp(Rec-TK)

R-DIs

Yang et al. [127]

\(\checkmark\)

 

\(\checkmark\)

  

\(\checkmark\)

ARM and LP

PharmGKB, SIDER, and MedHelp [128]

CV, AUC, AUC-PR, and Comp(Send, Spc, and F1)

R-DIs

Ozsoy et al. [119]

\(\checkmark\)

\(\checkmark\)

\(\checkmark\)

 

\(\checkmark\)

 

SM, PDo, and CF

PubChem, UniProt, SIDER, and TIRs [35]

CV and Comp(Prec, Rec, F1, Spc, and AUC)

R-DIs

Segler et al. [124]

 

\(\checkmark\)

  

\(\checkmark\)

 

RNN

SMILES

EOR

R-DIs

Altae-Tran et al. [122]

 

\(\checkmark\)

\(\checkmark\)

 

\(\checkmark\)

 

CCN and LSTM

SIDER and Tox21 [129]

Acc and AUC

R-DIs

Papanikolaou et al. [105]

 

\(\checkmark\)

 

\(\checkmark\)

  

NER

DrugBank

—

R-RAs

Brown et al. [104]

 

\(\checkmark\)

 

\(\checkmark\)

\(\checkmark\)

 

SM and Clust

MEDLINE and DrugBank

CSs

R-DIs

Nugent et al. [59]

  

\(\checkmark\)

\(\checkmark\)

  

SCM

Twitter

Comp(Acc)

R-DIs

Aliper et al. [121]

\(\checkmark\)

   

\(\checkmark\)

 

DNN

LINCS

CV, F1, NNCM, Spr, and Comp(Acc)

R-RAs

Lim et al. [118]

\(\checkmark\)

\(\checkmark\)

  

\(\checkmark\)

 

SM and CF

ZINC [130]

CV and Comp(Acc,and Rec)

R-TIs

Sridhar et al. [60]

\(\checkmark\)

\(\checkmark\)

\(\checkmark\)

 

\(\checkmark\)

 

SM and PSL

DrugBank

Comp(AUC, AUC-PR, F1) and CSs

R-RIs

Zheng et al. [39]

 

\(\checkmark\)

 

\(\checkmark\)

\(\checkmark\)

 

SM

BindingDB [131]

CV, Acc, Spc, Sen, AUC, Prec, F1, Comp(AUC, Sen, and Spc), and CSs

R-TIs

Rastegar-Mojarad et al. [103]

\(\checkmark\)

  

\(\checkmark\)

 

\(\checkmark\)

TM and SM

SemMedDB [132], UMLS [133], CTD [134], and Medline

Comp(CoS)

R-DIs

Rakshit et al. [126]

\(\checkmark\)

  

\(\checkmark\)

 

\(\checkmark\)

TM and Genotator [135], PolySearch [95], Pescador [136], and DrugBank

Comp(Acc)

R-TIs

 

Huang et al. [27]

\(\checkmark\)

   

\(\checkmark\)

\(\checkmark\)

SM and BGL

CMap

CV, AUC, Comp(AUC), and CSs

R-TIs

Zhu et al. [108]

\(\checkmark\)

\(\checkmark\)

 

\(\checkmark\)

  

SM and WOL

PharmGKB

CSs

R-DIs

Tari et al. [102]

\(\checkmark\)

\(\checkmark\)

 

\(\checkmark\)

  

TM and LFRs

Medline, GO, UniProt, NCBI, CancerQuest [137], and DrugBank

Comp(Rec) and CSs

R-DIs

Okada et al. [23]

\(\checkmark\)

\(\checkmark\)

 

\(\checkmark\)

  

GWAS

GWASs

P and CSs

R-DIs

Yang et al. [117]

\(\checkmark\)

\(\checkmark\)

  

\(\checkmark\)

 

CI-PMF

DrugBank, BioCarta [138], and CTD [134]

Comp(AUC and Prec) and CSs

R-DIs

Zhang et al. [116]

\(\checkmark\)

\(\checkmark\)

\(\checkmark\)

 

\(\checkmark\)

 

SM and BCD

DrugBank, NDF-RT [139], and HPRD [140]

CV, Comp(AUC), and CSs

R-DIs

Bisgin et al. [58]

  

\(\checkmark\)

 

\(\checkmark\)

\(\checkmark\)

SM and LDA

SIDER

Acc and CSs

R-TIs

Tan et al. [38]

\(\checkmark\)

\(\checkmark\)

   

\(\checkmark\)

SM and Clust

PubChem and DrugBank

Comp(Acc)

R-TIs

Ye et al. [57]

  

\(\checkmark\)

  

\(\checkmark\)

SM

SIDER

CV, Acc, and CSs

R-TIs

Menden et al. [114]

\(\checkmark\)

\(\checkmark\)

  

\(\checkmark\)

 

FF-PNN and RF

CCL [18]

CV, Acc, \(R_{p}\), \(R^{2}\), RMSE, and CSs

R-TIs

Napolitano et al. [115]

\(\checkmark\)

\(\checkmark\)

  

\(\checkmark\)

 

SVM and CF

CMap, NCBI, DrugBank, and ATC [141]

CV, Acc, Comp(AUC)

R-DIs

Wang et al. [37]

\(\checkmark\)

\(\checkmark\)

\(\checkmark\)

 

\(\checkmark\)

\(\checkmark\)

SM, KF, and SVM

PubChem, KEGG, BRENDA [142], SuperTarget [143], DrugBank, and SIDER

CV, Comp(AUC, Acc, Sens, Spc, Prec, and F1), $ CSs

R-DIs

Gottlieb et al. [56]

\(\checkmark\)

\(\checkmark\)

\(\checkmark\)

\(\checkmark\)

\(\checkmark\)

 

SM

DrugBank, Drugs.com, and SIDER

CV, Acc, AUC, and CSs

R-TIs

Wu et al. [125]

\(\checkmark\)

\(\checkmark\)

\(\checkmark\)

 

\(\checkmark\)

\(\checkmark\)

SM and Clust

KEGG

CV, Comp(Acc), and CSs

R-DIs

Chen et al. [107]

\(\checkmark\)

 

\(\checkmark\)

 

\(\checkmark\)

\(\checkmark\)

SM and LP

Chem2Bio2RDF [144], DrugBank, and Matador [143]

Acc, AUC, Copm(Acc and AUC), and CSs

R-TIs

Li and Lu [96]

\(\checkmark\)

  

\(\checkmark\)

 

\(\checkmark\)

TM

ClinicalTrials.gov and PharmGKB

Acc, Comp(Acc), and CSs

PGx

Li and Lu [35]

\(\checkmark\)

\(\checkmark\)

\(\checkmark\)

\(\checkmark\)

 

\(\checkmark\)

SM and BGL

DrugBank, NDF-RT [139], HPRD [140], and ClinicalTrials.gov

CV (Sen, Spc, and AUC), Comp(Spc, Sen, and AUC), and CSs

R-TIs

Hoehndorf et al. [55]

\(\checkmark\)

 

\(\checkmark\)

 

\(\checkmark\)

 

SM

PhenomeNET [145] and PharmGKB

AUC and CSs

R-TIs

Gottlieb et al. [113]

\(\checkmark\)

\(\checkmark\)

\(\checkmark\)

 

\(\checkmark\)

 

SM and LR

DrugBank, SMILES, Matador [143], DCDB [146], KEGG, DailyMed [147], SIDER, GO, UniPort, and ClinicalTrials.gov

CV, Acc, P, AUC, and Comp(Acc and AUC)

R-DIs

Sirota et al. [14]

\(\checkmark\)

   

\(\checkmark\)

 

Clust and SM

GEO and CMap

CSs

R-DIs

Hu and Agarwal [13]

\(\checkmark\)

    

\(\checkmark\)

SM

GEO, CMap, and DrugBank

Acc, Comp(Rec and Sens), and CSs

R-DIs

Li et al. [101]

\(\checkmark\)

\(\checkmark\)

 

\(\checkmark\)

\(\checkmark\)

 

TM, SM and CMap

OPHID [148], PubMed

CV, Comp(Sen, Spc, PPV, F1, and Acc), and CSs

R-DIs

Bleakley et al. [32]

\(\checkmark\)

\(\checkmark\)

  

\(\checkmark\)

\(\checkmark\)

SM, BGL, and SVM

KEGG, BRENDA [142], SuperTarget [143], and DrugBank

CV, Comp(AYC and AUC-PR), and CSs

R-TIs

Kinnings et al. [31]

\(\checkmark\)

\(\checkmark\)

   

\(\checkmark\)

SM

MDDR [149]

Comp(Acc) and CSs

R-TIs

Keiser et al. [9]

 

\(\checkmark\)

  

\(\checkmark\)

\(\checkmark\)

SM and BGL

KEGG, BRENDA [142], SuperTarget [143], and DrugBank

CV, Comp(AUC, Sens, Spc, and PPV), and CSs

R-TIs

Yamanishi et al. [30]

\(\checkmark\)

\(\checkmark\)

  

\(\checkmark\)

\(\checkmark\)

SM and BGL

KEGG, BRENDA [142], SuperTarget [143], and DrugBank

CV, Comp(AUC, Sens, Spc, and PPV), and CSs

R-TIs

Cheng et al. [95]

\(\checkmark\)

  

\(\checkmark\)

 

\(\checkmark\)

TM

PubMed, UniPort, HGMD [150], DrugBank, HMDB [151]

Comp(F1) and CSs

BER

Campillos et al. [53]

\(\checkmark\)

\(\checkmark\)

\(\checkmark\)

 

\(\checkmark\)

 

SM

Matador [143], DrugBank, PDSP Ki [152], and STRING [153]

Comp(Spc and Sen) and CSs

R-DIs

Lamb et al. [12]

\(\checkmark\)

   

\(\checkmark\)

 

Clust and CMap

CHC

CSs

R-DIs

  1. Acc Accuracy, AE Autoencoder, ARM Association Rules Mining, AUC Area under curve, AUC-PR Area Under The Precision-Recall Curve, BCD Block Coordinate Descent, BER Biological Entity Relationships, BGL Bipartite Graph Learning, CF Collaborative Filtering, CHC Cultured Human Cells, CI-PMF Causal Inference-Probabilistic Matrix Factorization , Clust Clustering, CMap Connectivity Map , CNN Convolutional Neural Network , Comp Comparison With Other Approaches, CoS Co-occurrence Score, CSs Case Studies, CV Cross Validation , D-GAs Disease-Gene Associations, DNN Deep Neural Network, EOR Enrichment Over Random, F1 F1 score/F-measure, FF-PNN Feed-Forward Perceptron Neural Network, GCN Graph Convolutional Network, GWAS Genome-Wide Association Study, KF Kernel Fusion, LDA Latent Dirichlet Allocation, LFRs Logical Facts and Rules, LP Link Prediction, LR Logistic Regression, LSTM Long Short-Term Memory, MAP Mean Average Precision, MF Matrix Factorization, MM-AE Multi-modal Deep Autoencoder, NDCG Normalized Discounted Cumulative Gain, NER Name Entity Recognition, NNCM Neural Net Confusion Matrix, P P-value, PDo Pareto Dominance, PGx Pharmacogenomics, PPV Positive Predictive Value, Prec Precision, PSL Probabilistic Soft Logic, ‘\(R^{2}\)’: Coefficient of Determination , ‘\(R_{p}\)’: Pearson Correlation, R-DIs Drug-Disease Interactions, Rec Recall, Rec-TK Recall @ Top-K, RF Random Forest, RMSE Root Mean Square Error, RNN Recurrent Neural Network, ROC Receiver Operating Characteristic Curve, R-RAs Drug–Drug Associations, R-TIs Drug-Target Interactions, SCM Sample Covariance Matrix, Sen Sensitivity, SM Similarity Measures, Spc Specificity, Spr Separability, SVM Support Vector Machine, TIRs Therapeutic Indication Relationships, TM Text Mining, V-AE Variational Autoencoder, WOL Web Ontology Language