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Identifying novel selective PPO inhibitors through structure-based virtual screening and bio-evaluation.

ABSTRACT: Protoporphyrinogen oxidase (PPO) is a key enzyme in chlorophyll and heme biosynthesis, and the development of its inhibitors is of great importance both in the pharmaceutical and pesticide industries. However, the currently developed PPO inhibitors have insignificant bio-selectivity and have a serious impact on non-target organisms. In this study, a docking-based virtual screening approach combined with bio-activity testing was used to obtain novel selective inhibitors of PPO. The results of the bio-activity test showed that thirteen compounds showed 10-fold selectivity over human PPO. And the best selective compound, ZINC70338, has a K _i value of 2.21 μM for Nicotiana tabacum PPO and >113-fold selectivity for human PPO. The selectivity mechanism of ZINC70338 in different species of PPO was then analyzed by molecular dynamics simulations to provide a design basis and theoretical guidance for the design of novel selective inhibitors.

SUBMITTER: Zhao SS

PROVIDER: S-EPMC10075065 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature

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Identifying novel selective PPO inhibitors through structure-based virtual screening and bio-evaluation.

Zhao Shan-Shan SS Wang Yu-Jie YJ Tang Lei L Guo Bing B Wang Ling L Zhang Ji-Quan JQ Yang Sheng-Gang SG

RSC advances 20230405 16

Protoporphyrinogen oxidase (PPO) is a key enzyme in chlorophyll and heme biosynthesis, and the development of its inhibitors is of great importance both in the pharmaceutical and pesticide industries. However, the currently developed PPO inhibitors have insignificant bio-selectivity and have a serious impact on non-target organisms. In this study, a docking-based virtual screening approach combined with bio-activity testing was used to obtain novel selective inhibitors of PPO. The results of the ...[more]

PMID: 37033434

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Project description:IntroductionPhosphoinositide 3-kinase gamma (PI3Kγ) has been regarded as a promising drug target for the treatment of various diseases, and the diverse physiological roles of class I PI3K isoforms (α, β, δ, and γ) highlight the importance of isoform selectivity in the development of PI3Kγ inhibitors. However, the high structural conservation among the PI3K family makes it a big challenge to develop selective PI3Kγ inhibitors.ObjectivesA novel machine learning-based virtual screening with multiple PI3Kγ protein structures was developed to discover novel PI3Kγ inhibitors.MethodsA large chemical database was screened using the virtual screening model, the top-ranked compounds were then subjected to a series of bio-evaluations, which led to the discovery of JN-KI3. The selective inhibition mechanism of JN-KI3 against PI3Kγ was uncovered by a theoretical study.Results49 hits were identified through virtual screening, and the cell-free enzymatic studies found that JN-KI3 selectively inhibited PI3Kγ at a concentration as low as 3,873 nM but had no inhibitory effect on Class IA PI3Ks, leading to the selective cytotoxicity on hematologic cancer cells. Meanwhile, JN-KI3 potently blocked the PI3K signaling, finally led to distinct apoptosis of hematologic cell lines at a low concentration. Lastly, the key residues of PI3Kγ and the structural characteristics of JN-KI3, which both would influence γ isoform-selective inhibition, were highlighted by systematic theoretical studies.ConclusionThe developed virtual screening model strongly manifests the robustness to find novel PI3Kγ inhibitors. JN-KI3 displays a specific cytotoxicity on hematologic tumor cells, and significantly promotes apoptosis associated with the inhibition of the PI3K signaling, which depicts PI3Kγ as a potential target for the hematologic tumor therapy. The theoretical results reveal that those key residues interacting with JN-KI3 are less common compared to most of the reported PI3Kγ inhibitors, indicating that JN-KI3 has novel structural characteristics as a selective PIK3γ inhibitor.

Dataset Information

Identifying novel selective PPO inhibitors through structure-based virtual screening and bio-evaluation.

Publications

Identifying novel selective PPO inhibitors through structure-based virtual screening and bio-evaluation.

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