Identifying disease-related microbes based on multi-scale variational graph autoencoder embedding Wasserstein distance

Table 4 The common drugs related to specific microbe and disease

Microbe	Disease	Common drugs	Probability	PMID
Escherichia coli	Non-alcoholic fatty liver disease	Sorbitol, rifampicin	0.9491	31,808,577
Escherichia coli	Colorectal cancer	Ertapenem, tobramycin, framycetin	0.9474	28,106,826
Escherichia coli	Atopic eczema	Zinc oxide, tannic acid	0.9403	33,023,370
Escherichia coli	Cirrhosis of liver	Imipenem, cefoperazone, cefoxitin	0.8973	31,295,531
Escherichia coli	Hiv infection	Sulfamethoxazole	0.8920	25,482,819
Escherichia coli	Mouth neoplasm	Sorbitol	0.8245	35,096,312
Staphylococcus aureus	Colorectal cancer	Azithromycin, tobramycin	0.7997	24,467,507
Escherichia coli	Bacterial vaginosis	Tetracycline, tannic acid	0.7771	29,933,767
Escherichia coli	Congenital short bowel syndrome	Daidzein	0.7081	9,125,641
Staphylococcus aureus	Cirrhosis of liver	Imipenem, azithromycin, cefoxitin	0.6987	22,833,245
Staphylococcus aureus	Non-alcoholic fatty liver disease	Rifampicin	0.6948	34,978,141
Escherichia coli	Dental caries	Sorbitol	0.6351	30,657,107
Escherichia coli	Sclerosing cholangitis	Curcumin, minocycline	0.6282	30,252,934
Escherichia coli	Otitis media	Cefpodoxime	0.6270	28,613,732
Staphylococcus aureus	Periodontitis	Norgestimate, azithromycin, minocycline	0.5752	30,241,716

ISSN: 1741-7007