The enzyme ATP citrate lyase (ACL) catalyzes the formation of cytosolic acetyl CoA, the starting material for de novo lipid and cholesterol biosynthesis. The dysfunction and upregulation of ACL in numerous cancers makes it an attractive target for developing anticancer therapies. ACL inhibition by shRNA knockdown limits cancer cell proliferation and reduces cancer stemness. We designed and implemented a dual docking protocol to select virtual ACL inhibitors that were scored among the top 10 percentiles by both the Autodock Vina and the Glamdock algorithms. Via this in silico screens of a focused furoic acid library, we discovered four subtypes of furans and benzofurans as novel ACL inhibitors. The hit rate of our in silico protocol was 45.8% with 11 of 24 virtual hits confirmed as active in an in vitro ACL enzymatic assay. The IC50 of the most potent ACL inhibitor A1 is 4.1μM. Our results demonstrated remarkable hit rate by the dual docking approach and provided novel chemical scaffolds for the development of ACL inhibitors for the treatment of cancer.