Computational Discovery of Potent and Bioselective Protoporphyrinogen IX Oxidase Inhibitor via Fragment Deconstruction Analysis.

Abstract

Tuning the binding selectivity through appropriate ways is a primary goal in the design and optimization of a lead toward agrochemical discovery. However, how to achieve rational design of selectivity is still a big challenge. Herein, we developed a novel computational fragment generation and coupling (CFGC) strategy that led to a series of highly potent and bioselective inhibitors targeting protoporphyrinogen IX oxidase. This enzyme plays a vital role in heme and chlorophyll biosynthesis, which has been proven to be associated with many drugs and agrochemicals. However, existing agrochemicals are nonbioselective, resulting in a great threat to nontargeted organisms. To the best of our knowledge, this is the first bioselective inhibitor targeting the tetrapyrrole biosynthesis pathway. In addition, the candidate showed excellent in vivo bioactivity and much better safety toward humans.