In silico-based identification of phytochemicals as novel human phosphoglycerate mutase 1 (PGAM1) inhibitors for cancer therapy

Abstract

Targeting cancer-specific metabolic and mitochondrial remodeling has emerged as a novel and selective strategy for cancer therapy during recent years. Phosphoglycerate Mutase 1 (PGAM1) is an important glycolytic enzyme that catalyzes the conversion of 3-phosphoglycerate to 2-phosphoglycerate and plays a critical role in cancer progression by coordinating glycolysis and biosynthesis. PGAM1 has been reported to be over expressed in a variety of cancer types and its inhibition results in decreased tumor growth and metastasis. Recently, there has been a growing interest in identification and characterization of novel PGAM1 inhibitors for the treatment of cancer. In the current study, in silico tools were used to find out natural inhibitors of PGAM1. For docking studies, a database of 5006 phytochemicals were docked against PGAM1, using MOE software in order to identify the compounds which show better binding affinities than PGMI-004A. Out of 5006 compounds screened, eight compounds (1,3-cyclopentanedione, glyflavanone B, 6-demethoxytangeretin, gnaphaliin, lantalucratin A and -(-) morelensin, abyssinin II and monotesone-A) showed significant binding affinity with PGAMI active site. Further, the eight selected compounds were evaluated for different pharmacokinetics parameters using admetSAR, the obtained results demonstrated that none of these hit compounds violated Lipinski's drug rule of 5 and all the hit compounds possess favorable ADMET properties. This study has unveiled the potential of phytochemicals that could serve as probable lead candidates for the development of PGAM1 inhibitors as anti-cancer agents.