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Novel 1,2,3-Triazole Erlotinib Derivatives as Potent IDO1 Inhibitors: Design, Drug-Target Interactions Prediction, Synthesis, Biological Evaluation, Molecular Docking and ADME Properties Studies.
Xu, Gui-Qing; Gong, Xiao-Qing; Zhu, Ying-Ying; Yao, Xiao-Jun; Peng, Li-Zeng; Sun, Ge; Yang, Jian-Xue; Mao, Long-Fei.
Afiliação
  • Xu GQ; Henan Engineering Research Center of Chiral Hydroxyl Pharmaceutical, School of Chemistry and Chemical Engineering, Henan Normal University, Xinxiang, China.
  • Gong XQ; College of Chemistry and Chemical Engineering, Lanzhou University, Lanzhou, China.
  • Zhu YY; Henan Engineering Research Center of Chiral Hydroxyl Pharmaceutical, School of Chemistry and Chemical Engineering, Henan Normal University, Xinxiang, China.
  • Yao XJ; College of Chemistry and Chemical Engineering, Lanzhou University, Lanzhou, China.
  • Peng LZ; Key Laboratory of Agro-Products Processing Technology of Shandong Province, Key Laboratory of Novel Food Resources Processing Ministry of Agriculture, Institute of Agro-Food Science and Technology Shandong Academy of Agricultural Sciences, Jinan, China.
  • Sun G; The Third Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
  • Yang JX; Department of Neurology, The First Affiliated Hospital of Henan University of Science and Technology, Luoyang, China.
  • Mao LF; School of Nursing, Henan University of Science and Technology, Luoyang, China.
Front Pharmacol ; 13: 854965, 2022.
Article em En | MEDLINE | ID: mdl-35677437
ABSTRACT
Indoleamine 2,3-dioxygenase 1 (IDO1) plays a predominant role in cancer immunotherapy which catalyzes the initial and rate limiting steps of the kynurenine pathway as a key enzyme. To explore novel IDO1 inhibitors, five derivatives of erlotinib-linked 1,2,3-triazole compounds were designed by using a structure-based drug design strategy. Drug-target interactions (DTI) were predicted by DeePurpose, an easy-to-use deep learning library that contains more than 50 algorithms. The DTI prediction results suggested that the designed molecules have potential inhibitory activities for IDO1. Chemical syntheses and bioassays showed that the compounds exhibited remarkable inhibitory activities against IDO1, among them, compound e was the most potent with an IC50 value of 0.32 ± 0.07 µM in the Hela cell assay. The docking model and ADME analysis exhibited that the effective interactions of these compounds with heme iron and better drug-likeness ensured the IDO1 inhibitory activities. The studies suggested that compound e was a novel and interesting IDO1 inhibitor for further development.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article