Publications by authors named "A O Cherkasov"

Lin28 is a key regulator of cancer stem cell gene network that promotes therapy-resistant tumor progression in various tumors. However, no Lin28 inhibitor has been approved to treat cancer patients, urging exploration of novel compounds as candidates to be tested for clinical trials. In this contribution, we applied computer-aided drug design (CADD) in combination with quantitative biochemical and biological assays.

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Comorbid diabetes mellitus (DM) in patients with ischemic heart disease (IHD) is a serious factor that significantly impairs the life prognosis and increases the risk of cardiovascular complications (CVC) as well as the likelihood of death. The residual risk of developing CVC in such patients is largely determined by the high thrombotic status, that is associated with hypercoagulation characteristic of DM. Hypercoagulation causes activation of both platelet and coagulation pathways, which leads to an increased susceptibility to thrombosis.

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Recent developments have broadened our perception of SARS-CoV-2, indicating its capability to affect the body systemically beyond its initial recognition as a mere respiratory pathogen. However, the pathways of its widespread are not well understood. Employing a dual-modality approach, we integrated findings from a Murine Hepatitis Virus (MHV) infection model with corroborative clinical data to investigate the pervasive reach of Coronaviruses.

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Elevated expression of components of eIF4F translation initiation complex has been documented in cancer, resulting in enhanced translation of mRNAs encoding pro-tumorigenic factors, including oncogenic proteins. We previously identified SBI-756, a small molecule that interferes with the eIF4F assembly and overcomes melanoma resistance to BRAF inhibitors. SBI-756 enhanced anti-tumor immunity in pancreatic cancer and was effective in the treatment of diffuse large B cell lymphoma.

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Article Synopsis
  • * Researchers targeted the estrogen receptor's Activation Function 2 (AF2) site using AI to identify over a billion molecules, leading to the discovery of a promising compound, VPC-260724, which inhibits estrogen receptor activity.
  • * VPC-260724 was found to disrupt the interaction between the receptor and a coactivator, reducing cancer cell growth and gene expression in resistant breast cancer models, suggesting it may enhance existing therapies.
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