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Rational optimization of a transcription factor activation domain inhibitor

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Basu,  Shaon       
Precision Gene Control (Denes Hnisz), Dept. of Genome Regulation, (Head: Alexander Meissner), Max Planck Institute for Molecular Genetics, Max Planck Society;

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Meierhofer,  David       
Mass Spectrometry Facility (Head: David Meierhofer), Scientific Service (Head: Claudia Thurow), Max Planck Institute for Molecular Genetics, Max Planck Society;

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Hnisz,  Denes       
Precision Gene Control (Denes Hnisz), Dept. of Genome Regulation, (Head: Alexander Meissner), Max Planck Institute for Molecular Genetics, Max Planck Society;

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Nat Struct Mol Biol_Basu et al_2023.pdf
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Citation

Basu, S., Martínez-Cristóbal, P., Frigolé-Vivas, M., Pesarrodona, M., Lewis, M., Szulc, E., et al. (2023). Rational optimization of a transcription factor activation domain inhibitor. Nature Structural & Molecular Biology, 30(12), 1958-1969. doi:10.1038/s41594-023-01159-5.


Cite as: https://hdl.handle.net/21.11116/0000-000E-2390-7
Abstract
Transcription factors are among the most attractive therapeutic targets but are considered largely 'undruggable' in part due to the intrinsically disordered nature of their activation domains. Here we show that the aromatic character of the activation domain of the androgen receptor, a therapeutic target for castration-resistant prostate cancer, is key for its activity as transcription factor, allowing it to translocate to the nucleus and partition into transcriptional condensates upon activation by androgens. On the basis of our understanding of the interactions stabilizing such condensates and of the structure that the domain adopts upon condensation, we optimized the structure of a small-molecule inhibitor previously identified by phenotypic screening. The optimized compounds had more affinity for their target, inhibited androgen-receptor-dependent transcriptional programs, and had an antitumorigenic effect in models of castration-resistant prostate cancer in cells and in vivo. These results suggest that it is possible to rationally optimize, and potentially even to design, small molecules that target the activation domains of oncogenic transcription factors.