1. Academic Validation
  2. Discovery of Dual Targeting GSK-3β/HIV-1 Reverse Transcriptase Inhibitors as Neuroprotective Antiviral Agents

Discovery of Dual Targeting GSK-3β/HIV-1 Reverse Transcriptase Inhibitors as Neuroprotective Antiviral Agents

  • ACS Chem Neurosci. 2025 Jan 1;16(1):77-84. doi: 10.1021/acschemneuro.4c00725.
Thane Jones 1 Renuka Raman 1 Ana C Puhl 1 Thomas R Lane 1 Olga Riabova 2 Elena Kazakova 2 Vadim Makarov 2 Sean Ekins 1
Affiliations

Affiliations

  • 1 Collaborations Pharmaceuticals, Inc., 840 Main Campus Drive, Lab 3510, Raleigh, North Carolina 27606, United States.
  • 2 Research Center of Biotechnology RAS, Leninsky Prospekt 33-2, Moscow 119071, Russia.
Abstract

Glycogen synthase kinase-3 beta (GSK-3β or GSK-3B) is a serine-threonine kinase involved in various pathways and cellular processes. Alteration in GSK-3β activity is associated with several neurological diseases including Alzheimer's disease (AD), bipolar disorder, and rare diseases like Rett syndrome. GSK-3β is also implicated in HIV-associated dementia (HAD), as it is upregulated in HIV-1-infected cells and plays a role in neuronal dysfunction. Therefore, a small molecule that can inhibit both GSK-3β and HIV-1 Reverse Transcriptase could offer neuroprotective therapy for patients suffering from HIV-1. Despite this, there are no known GSK-3β inhibitors currently approved, thus prompting us to screen our panel of various Antiviral compounds against this kinase to better understand its structure-activity relationship. We show for the first time that the approved drugs, etravirine and rilpivirine, possess GSK-3β activity (IC50 619 nM and 502 nM, respectively). We have also identified 3 lead molecules exhibiting IC50 < 1 μM (11726169, 12326205, and 12326207), with compound 11726169 being the most potent in vitro GSK-3β Inhibitor (IC50 = 12.1 nM). We also describe the generation of machine learning models for GSK-3β inhibition and their validation with our data as an external test set and propose their use for the future optimization of such inhibitors.

Keywords

Alzheimer’s; CNS; GSK-3β; HIV; machine learning; neuroprotection.

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