Literature DB >> 35132191

Current strategies and progress for targeting the "undruggable" transcription factors.

Jing-Jing Zhuang1,2, Qian Liu3, Da-Lei Wu4, Lu Tie5.   

Abstract

Transcription factors (TFs) specifically bind to DNA, recruit cofactor proteins and modulate target gene expression, rendering them essential roles in the regulation of numerous biological processes. Meanwhile, mutated or dysregulated TFs are involved in a variety of human diseases. As multiple signaling pathways ultimately converge at TFs, targeting these TFs directly may prove to be more specific and cause fewer side effects, than targeting the upfront conventional targets in these pathways. All these features together endue TFs with great potential and high selectivity as therapeutic drug targets. However, TFs have been historically considered "undruggable", mainly due to their lack of structural information, especially about the appropriate ligand-binding sites and protein-protein interactions, leading to relatively limited choices in the TF-targeting drug design. In this review, we summarize the recent progress of TF-targeting drugs and highlight certain strategies used for targeting TFs, with a number of representative drugs that have been approved or in the clinical trials as examples. Various approaches in targeting TFs directly or indirectly have been developed. Common direct strategies include aiming at defined binding pockets, proteolysis-targeting chimaera (PROTAC), and mutant protein reactivation. In contrast, the indirect ones comprise inhibition of protein-protein interactions between TF and other proteins, blockade of TF expression, targeting the post-translational modifications, and targeting the TF-DNA interactions. With more comprehensive structural information about TFs revealed by the powerful cryo-electron microscopy technology and predicted by machine-learning algorithms, plus more efficient compound screening platforms and a deeper understanding of TF-disease relationships, the development of TF-targeting drugs will certainly be accelerated in the near future.
© 2022. The Author(s), under exclusive licence to Shanghai Institute of Materia Medica, Chinese Academy of Sciences and Chinese Pharmacological Society.

Entities:  

Keywords:  PROTAC; drug discovery; post-translational modification; protein-protein interaction; transcription factor; undruggable

Mesh:

Substances:

Year:  2022        PMID: 35132191      PMCID: PMC9525275          DOI: 10.1038/s41401-021-00852-9

Source DB:  PubMed          Journal:  Acta Pharmacol Sin        ISSN: 1671-4083            Impact factor:   7.169


  122 in total

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Authors:  Chung-Hang Leung; Daniel Shiu-Hin Chan; Victor Pui-Yan Ma; Dik-Lung Ma
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2.  Structure of the human Mdmx protein bound to the p53 tumor suppressor transactivation domain.

Authors:  Grzegorz M Popowicz; Anna Czarna; Tad A Holak
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3.  'It will change everything': DeepMind's AI makes gigantic leap in solving protein structures.

Authors:  Ewen Callaway
Journal:  Nature       Date:  2020-12       Impact factor: 49.962

Review 4.  Transcription Factor NRF2 as a Therapeutic Target for Chronic Diseases: A Systems Medicine Approach.

Authors:  Antonio Cuadrado; Gina Manda; Ahmed Hassan; María José Alcaraz; Coral Barbas; Andreas Daiber; Pietro Ghezzi; Rafael León; Manuela G López; Baldo Oliva; Marta Pajares; Ana I Rojo; Natalia Robledinos-Antón; Angela M Valverde; Emre Guney; Harald H H W Schmidt
Journal:  Pharmacol Rev       Date:  2018-04       Impact factor: 25.468

5.  Evidence for ligandable sites in structured RNA throughout the Protein Data Bank.

Authors:  William M Hewitt; David R Calabrese; John S Schneekloth
Journal:  Bioorg Med Chem       Date:  2019-04-06       Impact factor: 3.641

6.  Effects of HIF-1alpha and HIF2alpha on Growth and Metabolism of Clear-Cell Renal Cell Carcinoma 786-0 Xenografts.

Authors:  Swethajit Biswas; Helen Troy; Russell Leek; Yuen-Li Chung; Ji-Liang Li; Raju R Raval; Helen Turley; Kevin Gatter; Francesco Pezzella; John R Griffiths; Marion Stubbs; Adrian L Harris
Journal:  J Oncol       Date:  2010-06-27       Impact factor: 4.375

7.  p53 Loss in Breast Cancer Leads to Myc Activation, Increased Cell Plasticity, and Expression of a Mitotic Signature with Prognostic Value.

Authors:  Angela Santoro; Thalia Vlachou; Lucilla Luzi; Giorgio Melloni; Luca Mazzarella; Errico D'Elia; Xieraili Aobuli; Cristina Elisabetta Pasi; Linsey Reavie; Paola Bonetti; Simona Punzi; Lucia Casoli; Arianna Sabò; Maria Cristina Moroni; Gaetano Ivan Dellino; Bruno Amati; Francesco Nicassio; Luisa Lanfrancone; Pier Giuseppe Pelicci
Journal:  Cell Rep       Date:  2019-01-15       Impact factor: 9.423

8.  Selective androgen receptor modulators (SARMs) have specific impacts on the mouse uterus.

Authors:  Ioannis Simitsidellis; Arantza Esnal-Zuffiaure; Olympia Kelepouri; Elisabeth O'Flaherty; Douglas A Gibson; Philippa T K Saunders
Journal:  J Endocrinol       Date:  2019-09       Impact factor: 4.286

Review 9.  The Quest for Targets Executing MYC-Dependent Cell Transformation.

Authors:  Markus Hartl
Journal:  Front Oncol       Date:  2016-06-02       Impact factor: 6.244

Review 10.  Chemically Induced Cellular Proteolysis: An Emerging Therapeutic Strategy for Undruggable Targets.

Authors:  Seonghyeon Moon; Byung-Hoon Lee
Journal:  Mol Cells       Date:  2018-11-07       Impact factor: 5.034

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