Back

Defining the Polycystin Pharmacophore Through HTS & Computational Biophysics.

Guadarrama, E.; Vanoye, C. G.; DeCaen, P. G.

2025-01-17 pharmacology and toxicology
10.1101/2025.01.13.632808 bioRxiv
Show abstract

Background and PurposePolycystins (PKD2, PKD2L1) are voltage-gated and Ca2+-modulated members of the transient receptor potential (TRP) family of ion channels. Loss of PKD2L1 expression results in seizure-susceptibility and autism-like features in mice, whereas variants in PKD2 cause autosomal dominant polycystic kidney disease. Despite decades of evidence clearly linking their dysfunction to human disease and demonstrating their physiological importance in the brain and kidneys, the polycystin pharmacophore remains undefined. Contributing to this knowledge gap is their resistance to drug screening campaigns, which are hindered by these channels unique subcellular trafficking to organelles such as the primary cilium. PKD2L1 is the only member of the polycystin family to form constitutively active ion channels on the plasma membrane when overexpressed. Experimental ApproachHEK293 cells stably expressing PKD2L1 F514A were pharmacologically screened via high-throughput electrophysiology to identify potent polycystin channel modulators. In-silico docking analysis and mutagenesis were used to define the receptor sites of screen hits. Inhibition by membrane-impermeable QX-314 was used to evaluate PKD2L1s binding site accessibility. Key ResultsScreen results identify potent PKD2L1 antagonists with divergent chemical core structures and highlight striking similarities between the molecular pharmacology of PKD2L1 and voltage-gated sodium channels. Docking analysis, channel mutagenesis, and physiological recordings identify an open-state accessible lateral fenestration receptor within the pore, and a mechanism of inhibition that stabilizes the PKD2L1 inactivated state. Conclusion and ImplicationOutcomes establish the suitability of our approach to expand our chemical knowledge of polycystins and delineates novel receptor moieties for the development of channel-specific antagonists in TRP channel research.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
Frontiers in Pharmacology
100 papers in training set
Top 0.1%
17.4%
2
Epilepsia
49 papers in training set
Top 0.2%
12.6%
3
ACS Pharmacology & Translational Science
40 papers in training set
Top 0.1%
8.3%
4
Scientific Reports
3102 papers in training set
Top 14%
6.8%
5
PLOS ONE
4510 papers in training set
Top 28%
6.3%
50% of probability mass above
6
Clinical Pharmacology & Therapeutics
25 papers in training set
Top 0.1%
4.8%
7
Molecular Pharmaceutics
16 papers in training set
Top 0.1%
4.8%
8
Molecular Pharmacology
15 papers in training set
Top 0.1%
3.6%
9
British Journal of Pharmacology
34 papers in training set
Top 0.1%
3.6%
10
ACS Omega
90 papers in training set
Top 1%
1.8%
11
Neuropharmacology
60 papers in training set
Top 0.4%
1.7%
12
Biochemical Pharmacology
18 papers in training set
Top 0.1%
1.7%
13
Annals of Clinical and Translational Neurology
29 papers in training set
Top 0.6%
1.6%
14
ACS Chemical Neuroscience
60 papers in training set
Top 1%
1.6%
15
Human Genetics and Genomics Advances
70 papers in training set
Top 0.4%
1.5%
16
International Journal of Molecular Sciences
453 papers in training set
Top 12%
0.9%
17
Computational and Structural Biotechnology Journal
216 papers in training set
Top 7%
0.9%
18
F1000Research
79 papers in training set
Top 4%
0.9%
19
eBioMedicine
130 papers in training set
Top 3%
0.9%
20
eLife
5422 papers in training set
Top 56%
0.8%
21
Cellular and Molecular Life Sciences
84 papers in training set
Top 0.8%
0.7%
22
Pharmacology Research & Perspectives
11 papers in training set
Top 0.3%
0.7%
23
iScience
1063 papers in training set
Top 35%
0.7%
24
The Journal of Pharmacology and Experimental Therapeutics
15 papers in training set
Top 0.5%
0.7%
25
Neurobiology of Disease
134 papers in training set
Top 4%
0.7%
26
Nature Communications
4913 papers in training set
Top 64%
0.7%
27
Clinical and Translational Science
21 papers in training set
Top 1%
0.6%