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Center for Computational Systems Medicine
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Dataset summary

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Drug summary

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Umap of single cell types and conditions (resistant and sensitive)

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Comparison of cell composition between the resistant and sensitive groups (This dataset does not contain this module)

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Comparison of intra-tumor heterogeneity (ITH) and epithelial-mesenchymal transition (EMT) scores of malignant cells between the resistant and sensitive groups

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Difference of cell-cell interactions between the resistant and sensitive groups (This dataset does not contain this module)

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Differentially expressed genes (DEGs) between the resistant and sensitive groups for each cell type

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Mechanism analysis of drug resistance-related DEGs for each cell type in the pre-treatment samples (This dataset does not contain this module)

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Mechanism analysis of drug resistance-related DEGs for each cell type in the post-treatment samples (This dataset does not contain this module)

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Mechanism analysis of drug resistance-related DEGs for each cell type in one patient or cell lines

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MicroRNAs (miRNAs) regulating drug resistance-related DEGs for Malignant cells

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Motifs and transcription factors (TFs) regulating drug resistance-related DEGs for each cell type

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Differentially expressed genes act as transcription factors

Dataset: GSE175716

Dataset summary for GSE175716

Datast informationDatasetGSE175716
PMID34421602
Raw data ID/linkPRJNA733283
OrganismHomo sapiens
SourcePDX
TissueTumor tissue
Cancer type level1Liver cancer
Cancer type level2Advanced hepatocellular carcinoma
Regimensorafenib
Drug typeTargeted therapy
Sample sizeresistant 1, sensitive 2
Cell number6823
Extract protocolBD Rhapsody system
Data processingNovelBio Bio-Pharm Technology Co., Ltd.
Public datePublic on Aug 24, 2021
DescriptionThis dataset has 3 PDX.

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Drug summary for GSE175716

Drug nameDrugBank IDDrug typeTargets nameTargets uniprot ID
"Sorafenib"

DB00398

small moleculeBRAF; RAF1; FLT4; KDR; FLT3; PDGFRB; KIT; FGFR1; RET; FLT1P15056; P04049; P35916; P35968; P36888; P09619; P10721; P11362; P07949; P17948

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Umap of single cell types and conditions (resistant and sensitive)

check buttonUmap of cell types and conditions (resistant and sensitive). If this dataset has both pre-treatment and post-treatment samples, the cell types were annotated together. If this dataset is a cell line dataset, the UMAP of cell clusters and the cell ratio of drug-resistant and sensitive groups within each cluster will also be shown. (If the image exists, the user can click on it to enlarge it in a new window.)
Umap of cell typesboxplotUmap of conditionsboxplot

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Comparison of cell composition between the resistant and sensitive groups

check buttonIn the pre-treatment samples, the cell composition of the resistant and sensitive groups were compared.
* represents significant difference.
(If the image exists, the user can click on it to enlarge it in a new window.)

check buttonIn the post-treatment samples, the cell composition of the resistant and sensitive groups were compared.
* represents significant difference.
(If the image exists, the user can click on it to enlarge it in a new window.)

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Comparison of ITH and EMT scores of malignant cells between the resistant and sensitive groups

check buttonComparison of ITH (intra-tumoral heterogeneity) and EMT (epithelial-mesenchymal transition) scores of malignant cells between the resistant and sensitive groups. ITH represents intratumoral heterogeneity, EMT represents epithelial mesenchymal transition, pre represents pre-treatment, post represents post-treatment, post2 represents longer post-treatment. (If the image exists, the user can click on it to enlarge it in a new window.)
Comparison of ITH scoresboxplotComparison of EMT scoresboxplot

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Difference of cell-cell interactions between the resistant and sensitive groups

check buttonIn the pre-treatment samples, the difference in cell-cell interactions between the resistant and sensitive groups was compared. The numbers indicate the count of cell-cell interactions that were either higher or lower in the resistant group compared to the sensitive group. The dot plots of significant ligand-receptor pairs in the resistant group and sensitive group are subsequently displayed. (If the image exists, the user can click on it to enlarge it in a new window. Complete files can be downloaded from the download section.)

check buttonIn the post-treatment samples, the difference in cell-cell interactions between the resistant and sensitive groups was compared. The numbers indicate the count of cell-cell interactions that were either higher or lower in the resistant group compared to the sensitive group. The dot plots of significant ligand-receptor pairs in the resistant group and sensitive group are subsequently displayed. (If the image exists, the user can click on it to enlarge it in a new window. Complete files can be downloaded from the download section.)

check buttonThis dataset only has one patient or is a cell line dataset, the resistant sample is the post-treatment sample and the sensitive sample is the pre-treatment sample. The difference in cell-cell interactions between the resistant and sensitive groups was compared. The numbers indicate the count of cell-cell interactions that were either higher or lower in the resistant group compared to the sensitive group. The dot plots of significant ligand-receptor pairs in the resistant group and sensitive group are subsequently displayed. (If the image exists, the user can click on it to enlarge it in a new window. Complete files can be downloaded from the download section.)

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Differentially expressed genes (DEGs) between the resistant and sensitive groups for each cell type

check buttonIn the pre-treatment samples, the differentially expressed genes (|avg_log2FC|>0.25 & p_val_adj<0.05) between the resistant and sensitive groups for each cell type.

check buttonIn the post-treatment samples, the differentially expressed genes (|avg_log2FC|>0.25 & p_val_adj<0.05) between the resistant and sensitive groups for each cell type.

check buttonThis dataset only has one patient or is a cell line dataset, the resistant sample is the post-treatment sample and the sensitive sample is the pre-treatment sample. The following are differentially expressed genes (|avg_log2FC|>0.25 & p_val_adj<0.05) between the resistant and sensitive groups for each cell type.
Gene symbolGene idavg_log2FCp_valp_val_adjpct.1pct.2Cell typeTimepoint

SLC7A7

ENSG000001554650.3039141.62e-283.71e-240.2830.146Malignant cellsNA

PGP

ENSG000001842070.3034533.29e-277.53e-230.2750.144Malignant cellsNA

COMMD3

ENSG000001484440.3033026.22e-141.42e-090.3580.266Malignant cellsNA

NDUFA5

ENSG000001286090.30331.75e-154.00e-110.8180.749Malignant cellsNA

PSMD14

ENSG000001152330.3032345.87e-141.34e-090.7570.668Malignant cellsNA

AKIRIN2

ENSG000001353340.3031181.06e-092.42e-050.4130.347Malignant cellsNA

CHCHD3

ENSG000001065540.302985.05e-091.15e-040.4160.364Malignant cellsNA

SLC25A33

ENSG000001716120.3028924.47e-141.02e-090.3560.265Malignant cellsNA

NDUFS1

ENSG000002834470.3028411.75e-223.99e-180.7140.576Malignant cellsNA

VPS28

ENSG000002853390.30241.56e-153.56e-110.4560.341Malignant cellsNA

COMMD7

ENSG000001496000.3022941.24e-262.84e-220.290.158Malignant cellsNA

HSP90AB3P

ENSG000001831990.3021222.89e-126.60e-080.4140.335Malignant cellsNA

ZYG11B

ENSG000001623780.3017497.11e-131.62e-080.3070.219Malignant cellsNA

GLE1

ENSG000001193920.3009264.45e-221.02e-170.2830.166Malignant cellsNA

MGEA5

NA0.3005683.46e-117.92e-070.3840.309Malignant cellsNA

SMYD2

ENSG000001434990.2992271.24e-122.84e-080.3480.258Malignant cellsNA

C12orf45

NA0.2983092.25e-195.14e-150.2860.175Malignant cellsNA

AC009362.1

NA0.2980692.12e-334.85e-290.2920.145Malignant cellsNA

AL355032.1

NA0.2970433.02e-116.91e-070.390.314Malignant cellsNA

TBRG4

ENSG000001362700.2963915.80e-151.33e-100.3320.233Malignant cellsNA

MRPS5

ENSG000001440290.2961898.13e-181.86e-130.6340.524Malignant cellsNA

NFIA

ENSG000001625990.2953199.16e-152.09e-100.3070.211Malignant cellsNA

RABEPK

ENSG000001369330.2952925.80e-081.33e-030.2960.238Malignant cellsNA

RPS28

ENSG000002339270.2952511.88e-204.31e-160.8360.724Malignant cellsNA

NDUFB2

ENSG000000902660.2951284.00e-219.13e-170.9650.873Malignant cellsNA

MT-CYB

ENSG000001987270.2939920.00e+000.00e+0011Malignant cellsNA

BOP1

ENSG000002853010.2938137.61e-331.74e-280.260.121Malignant cellsNA

RNPEP

ENSG000001763930.292932.17e-134.96e-090.5990.503Malignant cellsNA

AK3

ENSG000001478530.2922897.00e-161.60e-110.8510.764Malignant cellsNA

ATP6V0B

ENSG000001174100.2919823.38e-427.72e-380.9520.623Malignant cellsNA

COCH

ENSG000001004730.2919015.30e-171.21e-120.2620.164Malignant cellsNA

ARV1

ENSG000001734090.2915091.61e-173.69e-130.2890.187Malignant cellsNA

YME1L1

ENSG000001367580.2914944.79e-181.09e-130.8840.792Malignant cellsNA

SERBP1P5

ENSG000002495650.2914589.85e-372.25e-320.2540.11Malignant cellsNA

SERPINB1

ENSG000000213550.2908895.73e-201.31e-150.9550.923Malignant cellsNA

VEGFB

ENSG000001735110.2908682.43e-175.54e-130.360.244Malignant cellsNA

HMGB1P5

ENSG000001329670.2893544.85e-151.11e-100.4050.301Malignant cellsNA

RHBDD2

ENSG000000054860.2888734.91e-091.12e-040.3660.305Malignant cellsNA

LARP4B

ENSG000001079290.2883161.14e-062.61e-020.3770.328Malignant cellsNA

HSPA1A

ENSG000002377240.2882621.67e-333.82e-290.9780.91Malignant cellsNA

POLR2I

ENSG000001052580.2871572.73e-196.24e-150.3750.247Malignant cellsNA

CCNL1

ENSG000001636600.2867448.98e-302.05e-250.8640.673Malignant cellsNA

SRP72

ENSG000001747800.2854231.14e-092.60e-050.8820.814Malignant cellsNA

AC073869.1

NA0.2838673.14e-257.17e-210.2580.135Malignant cellsNA

AC025458.1

NA0.2836384.90e-221.12e-170.280.164Malignant cellsNA

ZNF787

ENSG000001424090.2816129.05e-142.07e-090.3420.25Malignant cellsNA

PSPC1

ENSG000001213900.281146.08e-141.39e-090.3480.25Malignant cellsNA

ATP5G2

NA0.2807641.90e-154.33e-110.9940.988Malignant cellsNA

NDUFB1

ENSG000001836480.2800927.78e-131.78e-080.8970.807Malignant cellsNA

ZYX

ENSG000002854430.2794926.65e-111.52e-060.2970.219Malignant cellsNA
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Mechanism analysis of drug resistance-related DEGs for each cell type in the pre-treatment samples

check buttonEnrichment results for 5 known drug-resistant mechanisms in malignant cells and 1 known mechanism in TME cells.The "Signature" column represents the differentially expressed genes (DEGs) used for enrichment. The "Geneset" column represents the genes included in this mechanism. The "Overlap" column represents the number of genes in the "Geneset" that are enriched in the "Signature". The "Enriched Genes" column represents the genes in the "Geneset" that are enriched in the "Signature". (If the image exists, the user can click on it to enlarge it in a new window.)

check buttonHallmark, KEGG and GOBP enrichment results for up-regulated genes in resistant group of pre-treatment samples. Only show the top 50 pathways with fdr<0.05. If certain cell types are not displayed, it means that there are no significant pathways based on DEGs in those cell types. (If the image exists, the user can click on it to enlarge it in a new window. Complete files can be downloaded from the download section.)

check buttonHallmark, KEGG and GOBP enrichment results for down-regulated genes in resistant group of pre-treatment samples. Only show the top 50 pathways with fdr<0.05. If certain cell types are not displayed, it means that there are no significant pathways based on DEGs in those cell types. (If the image exists, the user can click on it to enlarge it in a new window.Complete files can be downloaded from the download section.)

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Mechanism analysis of drug resistance-related DEGs for each cell type in the post-treatment samples

check buttonEnrichment results for 5 known drug resistance mechanisms in malignant cells and 1 known mechanism in TME cells.The "Signature" column represents the differentially expressed genes (DEGs) used for enrichment. The "Geneset" column represents the genes included in this mechanism. The "Overlap" column represents the number of genes in the "Geneset" that are enriched in the "Signature". The "Enriched Genes" column represents the genes in the "Geneset" that are enriched in the "Signature". (If the image exists, the user can click on it to enlarge it in a new window.)

check buttonHallmark, KEGG and GOBP enrichment results for up-regulated genes in resistant group of post-treatment samples. Only show the top 50 pathways with fdr<0.05. If certain cell types are not displayed, it means that there are no significant pathways based on DEGs in those cell types. (If the image exists, the user can click on it to enlarge it in a new window. Complete files can be downloaded from the download section.)

check buttonHallmark, KEGG and GOBP enrichment results for down-regulated genes in resistant group of post-treatment samples. Only show the top 50 pathways with fdr<0.05. If certain cell types are not displayed, it means that there are no significant pathways based on DEGs in those cell types. (If the image exists, the user can click on it to enlarge it in a new window. Complete files can be downloaded from the download section.)

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Mechanism analysis of drug resistance-related DEGs for each cell type in one patient or cell lines

check buttonThis dataset only has one patient or is a cell line dataset, the resistant sample is the post-treatment sample and the sensitive sample is the pre-treatment sample. Enrichment results for 5 known drug resistance mechanisms in malignant cells and 1 known mechanism in TME cells are shown here.The "Signature" column represents the differentially expressed genes (DEGs) used for enrichment. The "Geneset" column represents the genes included in this mechanism. The "Overlap" column represents the number of genes in the "Geneset" that are enriched in the "Signature". The "Enriched Genes" column represents the genes in the "Geneset" that are enriched in the "Signature". (If the image exists, the user can click on it to enlarge it in a new window.)
Enrichment results for 5 known drug resistance mechanisms in malignant cells
boxplot
MechnismPvalFDRSignatureGenesetOverlapBackgroundCell typeEnriched Genes
Unusual Activation of Pro-survival Pathway9.20e-294.60e-28287478120823467Malignant cellsPPP2R5A,ADAM10,ADAM9,AKT2,ANXA2,AREG,CDH1,CDK6,CDKN1A,CUL5,DUSP6,GLS,HIF1A,HMGB1,HMOX1,HSPA1A,EIF4G1,IFI27,JUN,PKM,MAGEA6,MAGEA12,MCL1,MEF2D,MET,MAPK1,MUC1,MYC,NFKB1,PARP1,RAB6A,KRAS,RPS6,SELENOW,SMAD4,SOX4,SOX9,SRC,STMN1,TGFBR2,TPD52,TYMS,VOPP1,XIAP,YAP1,YWHAZ,SLC25A5,AGR2,AKAP12,AKT3,ANXA1,NET1,BAK1,BCL10,BID,BRD4,BTG1,CAV2,CCL2,ALCAM,CDC27,CDKN2A,CLU,CTNND1,CXCR4,DDR1,DICER1,DKK1,DUSP1,E2F6,EGR1,EGR2,EHF,HSP90B1,EP300,EPHA2,ERCC1,EREG,ETS1,EZH2,EZR,FAT1,FGF2,FN1,FIS1,FOXA1,FTL,FUS,GAPDH,GATA6,GRB2,GCLM,GSR,HBEGF,HIPK3,HMGB2,HSPA8,HSPB1,IDH1,NFKBIA,CXCL8,JAG1,AK4,KAT6A,RPS6KA3,RPS6KB1,LAMP2,LASP1,LATS2,LDHA,MAP3K1,MAP3K5,MAP3K8,MAGEA3,MDM2,MED1,MITF,MAPK3,MOB1A,MAP2K2,IGF2R,MSH2,NF1,NQO1,NUCKS1,OAZ2,SPP1,PDCD10,PDE4D,PTGS2,PGK1,PRKDC,PSMB5,PTPN12,RAC1,RAP1B,RASSF1,RAB22A,RICTOR,RRM1,HNRNPA1,RSF1,RSU1,S100A8,S100A11,SAV1,SDC2,SFPQ,SIAH2,SIRT1,SMAD3,SMC4,SOCS6,SRI,SP1,SPIN1,SRF,STAT5B,TPT1,TFAM,TGFBR1,TNFAIP3,TNFSF10,TOM1,TOP1,TWF1,USP14,WEE1,YBX1,YES1,ZEB1,ZNF217,ENO1,FASN,MAGEA4,RASS
Aberration of the Drug's Therapeutic Target2.10e-015.20e-012874901423467Malignant cellsAKT2,CDK6,MET,CREBBP,CDKN2A,EZH2,IDH1,MAP2K2,PTGS2,JAK1,SF3B1,NPM1,AKR1B1,TOP2A
Drug Inactivation by Structure Modification4.30e-016.00e-01287427423467Malignant cellsCES1,CDA,NME1,PON1
Irregularity in Drug Uptake and Drug Efflux4.80e-016.00e-01287437523467Malignant cellsSLC3A2,ABCB1,ABCC2,SLC4A4,SLC7A11
Epigenetic Alteration of DNA, RNA or Protein1.00e+001.00e+0028744552723467Malignant cellsH2AFY,MET,TRIP6,TYMS,XIAP,CREBBP,CCL2,CDKN2A,CXCR4,EZH2,GAPDH,IDH1,CXCL8,MAP3K8,MAPK3,RASSF1,SIRT1,SMC4,TIMP1,SNHG14,GDI2,AKT3,PPP1R15A,SMYD2,MT-CO2,NABP1,HULC


check buttonHallmark, KEGG and GOBP enrichment results for up-regulated genes in resistant group. Only show the top 50 pathways with fdr<0.05. If certain cell types are not displayed, it means that there are no significant pathways based on DEGs in those cell types. (If the image exists, the user can click on it to enlarge it in a new window. Complete files can be downloaded from the download section.)
Up-regulated HallmarkUp-regulated KEGGUp-regulated GO BP

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boxplot

boxplot

check buttonHallmark, KEGG and GOBP enrichment results for down-regulated genes in resistant group. Only show the top 50 pathways with fdr<0.05. If certain cell types are not displayed, it means that there are no significant pathways based on DEGs in those cell types. (If the image exists, the user can click on it to enlarge it in a new window. Complete files can be downloaded from the download section.)
Down-regulated HallmarkDown-regulated KEGGDown-regulated GO BP

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boxplot

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MicroRNAs (miRNAs) regulating drug resistance-related DEGs for malignant cells

check buttonIn the pre-treatment samples, the miRNAs with a score greater than 80 that regulate the top10 abs(avg_log2FC) drug resistance-related DEGs for malignant cells are shown here. If the gene does not have any miRNAs with a score greater than 80, it will not be shown. Here only the names of miRNAs with a score greater than 90 are shown, but some names will not be shown because of too many overlaps. (Complete files containing all datasets and cell types can be downloaded from the download section.)

check buttonIn the post-treatment samples, the miRNAs with a score greater than 80 that regulate the top10 abs(avg_log2FC) drug resistance-related DEGs for Malignant cells are shown here. If the gene does not have any miRNAs with a score greater than 80, it will not be shown. Here only the names of miRNAs with a score greater than 90 are shown, but some names will not be shown because of too many overlaps. (Complete files containing all datasets and cell types can be downloaded from the download section.)

check buttonThis dataset only has one patient or is a cell line dataset, the resistant sample is the post-treatment sample and the sensitive sample is the pre-treatment sample. The miRNAs with a score greater than 80 that regulate the top10 abs(avg_log2FC) drug resistance-related DEGs for Malignant cells are shown here. Here only the names of miRNAs with a score greater than 80 are shown, but some names will not be shown because of too many overlaps. If the gene does not have any miRNAs with a score greater than 90, it will not be shown. (Complete files containing all datasets and cell types can be downloaded from the download section.)
Regulating up-regulated DEGs in resistant groupRegulating down-regulated DEGs in resistant group
boxplotboxplot

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Motifs and transcription factors (TFs) regulating drug resistance-related DEGs for each cell type

check buttonIn the pre-treatment samples, the motifs and TFs that regulate drug resistance-related DEGs for each cell type are shown here. (Complete files can be downloaded from the download section.)

check buttonIn the post-treatment samples, the motifs and TFs that regulate drug resistance-related DEGs for each cell type are shown here. (Complete files can be downloaded from the download section.)

check buttonThis dataset only has one patient or is a cell line dataset, the resistant sample is the post-treatment sample and the sensitive sample is the pre-treatment sample. Motifs and TFs that regulate drug resistance-related DEGs for each cell type are shown here. (Complete files can be downloaded from the download section.)
Motifs and TFs regulating up-regulated DEGs in resistant group
motifmotifNESAUCTF_highConfCell_type
motifmetacluster_55.34.140.0575E2F6; EGR1; NRF1; NRF1; NRF1; NRF1; NRF1; NRF1; NRF1; NRF1; NRF1; NRF1; ZBTB2; ZSCAN10 (directAnnotation). NFE2L1; NRF1; NRF1; NRF1 (inferredBy_Orthology). Malignant cells
motiftaipale_tf_pairs__ETV5_CEBPD_NSCGGANNTTRCGYAAN_CAP3.890.0557CEBPD; ETV5 (directAnnotation). Malignant cells
motifdbtfbs__GMEB1_K562_ENCSR928KOR_merged_N13.840.0552GMEB1 (directAnnotation). Malignant cells
motifstark__RCGCMATTW3.730.0545YY1 (inferredBy_Orthology). Malignant cells
motiftaipale_tf_pairs__GCM1_SPDEF_RTRSKGGCGGANNNNNNATCCNNN_CAP_repr3.730.0544GCM1; SPDEF (directAnnotation). Malignant cells
motiftaipale_cyt_meth__ZNF385D_NCGTCGCGACGN_eDBD_meth3.640.0538ZNF385D (directAnnotation). Malignant cells
motiftaipale_tf_pairs__TFAP2C_MAX_TNSCCNNNGGSNNNNCACGTGN_CAP_repr3.390.0519MAX; TFAP2C (directAnnotation). Malignant cells
motiftransfac_pro__M006523.280.0511NRF1 (directAnnotation). Malignant cells
motifkznf__ZFP57_Imbeault2017_OM_MEME3.220.0507ZFP57 (directAnnotation). Malignant cells
motiftransfac_pro__M012983.130.0501MECP2 (directAnnotation). Malignant cells
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Motifs and TFs regulating down-regulated DEGs in resistant group
motifmotifNESAUCTF_highConfCell_type
motifmetacluster_135.113.540.0694NR2C2 (directAnnotation). Malignant cells
motifmetacluster_135.103.540.0694MBD2; MBD2; MECP2; MECP2 (directAnnotation). Malignant cells
motiftfdimers__MD000383.390.0678TFAP2C (directAnnotation). Malignant cells
motifmetacluster_144.33.360.0675ZNF704; ZNF704 (directAnnotation). Malignant cells
motifmetacluster_7.133.340.0672ZFX (directAnnotation). Malignant cells
motifkznf__ZNF730_Imbeault2017_RP_RCADE3.240.0662ZNF730 (directAnnotation). Malignant cells
motifcisbp__M009683.230.066MTF2 (directAnnotation). Malignant cells
motifmetacluster_155.233.210.0658BCL11B; ZNF711; ZNF711 (directAnnotation). ZFY (inferredBy_Orthology). Malignant cells
motifmetacluster_160.203.210.0658JUND; PRDM15 (directAnnotation). Malignant cells
motifcisbp__M003413.20.0657PAX6 (directAnnotation). Malignant cells
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Differentially expressed genes act as transcription factors

check buttonThis table shows the differentially expressed genes that act as transcription factors. (Complete files can be downloaded from the download section.)
TFmotifExpressionCell typeTimepoint

ZNF704

metacluster_144.3upMalignant cellsNA

JUND

metacluster_160.20upMalignant cellsNA

TRIM28

transfac_pro__M01199upMalignant cellsNA

THAP1

metacluster_141.5downMalignant cellsNA

SP1

transfac_pro__M01219downMalignant cellsNA

E2F6

metacluster_55.3downMalignant cellsNA

EGR1

metacluster_55.3downMalignant cellsNA

CEBPD

taipale_tf_pairs__ETV5_CEBPD_NSCGGANNTTRCGYAAN_CAPdownMalignant cellsNA

GMEB1

dbtfbs__GMEB1_K562_ENCSR928KOR_merged_N1downMalignant cellsNA

MAX

taipale_tf_pairs__TFAP2C_MAX_TNSCCNNNGGSNNNNCACGTGN_CAP_reprdownMalignant cellsNA
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1"Sun X, Zhang Y, Li H, Zhou Y, Shi S, Chen Z, He X, Zhang H, Li F, Yin J, Mou M, Wang Y, Qiu Y, Zhu F. DRESIS: the first comprehensive landscape of drug resistance information. Nucleic Acids Res. 2023 Jan 6;51(D1):D1263-D1275. doi: 10.1093/nar/gkac812. PMID: 36243960; PMCID: PMC9825618."
2"Wishart DS, Feunang YD, Guo AC, Lo EJ, Marcu A, Grant JR, Sajed T, Johnson D, Li C, Sayeeda Z, Assempour N, Iynkkaran I, Liu Y, Maciejewski A, Gale N, Wilson A, Chin L, Cummings R, Le D, Pon A, Knox C, Wilson M. DrugBank 5.0: a major update to the DrugBank database for 2018. Nucleic Acids Res. 2018 Jan 4;46(D1):D1074-D1082. doi: 10.1093/nar/gkx1037. PMID: 29126136; PMCID: PMC5753335."