Search Results - "Berishvili, Vladimir P"
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Discovery of Novel Tankyrase Inhibitors through Molecular Docking-Based Virtual Screening and Molecular Dynamics Simulation Studies
Published in Molecules (Basel, Switzerland) (11-07-2020)“…Tankyrase enzymes (TNKS), a core part of the canonical Wnt pathway, are a promising target in the search for potential anti-cancer agents. Although several…”
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Machine Learning Classification Models to Improve the Docking‐based Screening: A Case of PI3K‐Tankyrase Inhibitors
Published in Molecular informatics (01-11-2018)“…One of the major challenges in the current drug discovery is the improvement of the docking‐based virtual screening performance. It is especially important in…”
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Time-Domain Analysis of Molecular Dynamics Trajectories Using Deep Neural Networks: Application to Activity Ranking of Tankyrase Inhibitors
Published in Journal of chemical information and modeling (26-08-2019)“…Molecular dynamics simulations provide valuable insights into the behavior of molecular systems. Extending the recent trend of using machine learning…”
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Induced degradation of SNAP-fusion proteins
Published in RSC chemical biology (21-10-2024)“…Self-labeling protein tags are an efficient means to visualize, manipulate, and isolate engineered fusion proteins with suitable chemical probes. The SNAP-tag,…”
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