Potential Therapeutic Drugs for Parkinson’s Disease Based on Data Mining and Bioinformatics Analysis

Table 1

Differential genes of 4 DAVID KEGG pathways with a smaller value.

KEGG pathway	Gene number	value	Genes
Metabolic pathways	51	3.08E − 07	UQCRC2, SGSH, LDHA, IMPA1, HMGCR, ATP5B, CYC1, GSS, ALAS1, IDH3G, GOT1, PIGB, PTDSS1, NDUFS1, DHCR24, PLD3, CMAS, PFKP, PFKM, DGUOK, CDO1, NDUFA10, SDS, OAT, MDH2, MDH1, ME3, NDUFB5, SORD, GLUD1, UROS, ASNS, ATP6V1B2, ALDH1A1, ENO2, PAFAH1B1, PTS, PDHX, MTMR4, POLR3F, MSMO1, MOCS2, NDUFA9, NDUFA7, IDH3B, ACLY, ATP6V1E1, NDUFV2, MTR, QPRT, HIBCH
Carbon metabolism	12	1.70E − 0.5	ME3, GOT1, IDH3G, SDS, GLUD1, ENO2, PFKP, IDH3B, HIBCH, PFKM, MDH2, MDH1
Cysteine and methionine metabolism	7	1.05E − 0.4	LDHA, GOT1, SDS, MTR, CDO1, MDH2, MDH1
Parkinson’s disease	12	1.40E − 0.4	UQCRC2, NDUFB5, NDUFA9, ATP5B, CYC1, NDUFA7, NDUFV2, UCHL1, SLC18A2, NDUFA10, VDAC3, NDUFS1