Literature DB >> 30697729

Virtual screening identifies a PIN1 inhibitor with possible antiovarian cancer effects.

Concetta Russo Spena1,2, Lucia De Stefano1,2, Giulio Poli3, Carlotta Granchi3, Maguie El Boustani1,4, Fabrizio Ecca5, Gabriele Grassi6, Mario Grassi7, Vincenzo Canzonieri1,8,9, Antonio Giordano8, Tiziano Tuccinardi3,8, Isabella Caligiuri1, Flavio Rizzolio1,8,10.   

Abstract

Peptidyl-prolyl cis-trans isomerase, NIMA-interacting 1 (PIN1) is a peptidyl-prolyl isomerase that binds phospho-Ser/Thr-Pro motifs in proteins and catalyzes the cis-trans isomerization of proline peptide bonds. PIN1 is overexpressed in several cancers including high-grade serous ovarian cancer. Since few therapies are effective against this cancer, PIN1 could be a therapeutic target but effective PIN1 inhibitors are lacking. To identify molecules with in vivo inhibitory effects on PIN1, we used consensus docking to model existing PIN1-ligand X-ray structures and to screen a chemical database for candidate inhibitors. Ten molecules were selected and tested in cellular assays, leading to the identification of VS10 that bound and inhibited PIN1. VS10 treatment reduced the viability of ovarian cancer cell lines by inducing proteasomal PIN1 degradation, without effects on PIN1 transcription, and also reduced the levels of downstream targets β-catenin, cyclin D1, and pSer473-Akt. VS10 is a selective PIN1 inhibitor that may offer new opportunities for treating PIN1-overexpressing tumors.
© 2019 Wiley Periodicals, Inc.

Entities:  

Keywords:  Pin1; consensus docking; ovarian cancer; small molecule inhibitors

Year:  2019        PMID: 30697729     DOI: 10.1002/jcp.28224

Source DB:  PubMed          Journal:  J Cell Physiol        ISSN: 0021-9541            Impact factor:   6.384


  7 in total

1.  Lin_F9: A Linear Empirical Scoring Function for Protein-Ligand Docking.

Authors:  Chao Yang; Yingkai Zhang
Journal:  J Chem Inf Model       Date:  2021-09-01       Impact factor: 6.162

2.  Identification of Human Dihydroorotate Dehydrogenase Inhibitor by a Pharmacophore-Based Virtual Screening Study.

Authors:  Salvatore Galati; Stefano Sainas; Marta Giorgis; Donatella Boschi; Marco L Lolli; Gabriella Ortore; Giulio Poli; Tiziano Tuccinardi
Journal:  Molecules       Date:  2022-06-07       Impact factor: 4.927

Review 3.  Ubiquitination Regulators Discovered by Virtual Screening for the Treatment of Cancer.

Authors:  Ying-Qi Song; Chun Wu; Ke-Jia Wu; Quan-Bin Han; Xiang-Min Miao; Dik-Lung Ma; Chung-Hang Leung
Journal:  Front Cell Dev Biol       Date:  2021-05-12

Review 4.  Strategies for Delivery of siRNAs to Ovarian Cancer Cells.

Authors:  Rossella Farra; Matea Maruna; Francesca Perrone; Mario Grassi; Fabio Benedetti; Marianna Maddaloni; Maguie El Boustani; Salvo Parisi; Flavio Rizzolio; Giancarlo Forte; Fabrizio Zanconati; Maja Cemazar; Urska Kamensek; Barbara Dapas; Gabriele Grassi
Journal:  Pharmaceutics       Date:  2019-10-22       Impact factor: 6.321

Review 5.  Application of MM-PBSA Methods in Virtual Screening.

Authors:  Giulio Poli; Carlotta Granchi; Flavio Rizzolio; Tiziano Tuccinardi
Journal:  Molecules       Date:  2020-04-23       Impact factor: 4.411

6.  New PIN1 inhibitors identified through a pharmacophore-driven, hierarchical consensus docking strategy.

Authors:  Giulio Poli; Miriana Di Stefano; Joan Arias Estevez; Filippo Minutolo; Carlotta Granchi; Antonio Giordano; Salvatore Parisi; Matteo Mauceri; Vincenzo Canzonieri; Marco Macchia; Isabella Caligiuri; Tiziano Tuccinardi; Flavio Rizzolio
Journal:  J Enzyme Inhib Med Chem       Date:  2022-12       Impact factor: 5.051

Review 7.  Key Topics in Molecular Docking for Drug Design.

Authors:  Pedro H M Torres; Ana C R Sodero; Paula Jofily; Floriano P Silva-Jr
Journal:  Int J Mol Sci       Date:  2019-09-15       Impact factor: 5.923

  7 in total

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