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Related Concept Videos

Protein-Drug Binding: Determination Methods01:22

Protein-Drug Binding: Determination Methods

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Determining protein-drug binding can be achieved through indirect and direct methods, each providing valuable insights into the interaction between proteins and drugs.
Indirect methods involve isolating the bound drug from its free form in biological samples such as blood, serum, or plasma. These techniques aim to measure the percentage of drugs bound to proteins. Equilibrium dialysis is a commonly used method where the free drug concentration at equilibrium is measured by separating the bound...
564

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Screening Traditional Chinese Medicine Compounds for Inhibiting UCHL3 Activity Based on Molecular Docking and Deubiquitinating Enzyme Probe Technology
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Fast Screening of Inhibitor Binding/Unbinding Using Novel Software Tool CaverDock.

Gaspar P Pinto1,2, Ondrej Vavra1,2, Jiri Filipovic3

  • 1Loschmidt Laboratories, Department of Experimental Biology and RECETOX, Faculty of Science, Masaryk University, Brno, Czechia.

Frontiers in Chemistry
|November 19, 2019
PubMed
Summary

CaverDock software screens drug databases against protein targets, identifying potential drug candidates by analyzing binding and unbinding pathways. This tool accelerates drug discovery for targets with buried functional sites.

Keywords:
bindingchanneldockinginhibitorssubstratestunnelunbindingvirtual screening

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Area of Science:

  • Biochemistry
  • Computational Biology
  • Drug Discovery

Background:

  • Protein tunnels and channels are crucial for biological processes and represent key targets in drug design.
  • Modulating protein activity via substrate access or product release blockage is a significant therapeutic strategy.

Purpose of the Study:

  • To introduce and evaluate CaverDock, a novel software tool for screening drug databases against pharmacologically relevant protein targets.
  • To assess the accuracy and efficiency of CaverDock in identifying functional tunnels and predicting binding/unbinding processes.

Main Methods:

  • CaverDock was used to screen drug databases against protein targets, analyzing rigid and flexible side chain effects.
  • Software accuracy was validated by comparing CaverDock calculations with experimental data for heat shock protein 90α.
  • Virtual screening was performed on FDA-approved oncological and anti-inflammatory drugs targeting cytochrome P450 17A1 and leukotriene A4 hydrolase/aminopeptidase.

Main Results:

  • CaverDock successfully identified functional tunnels by analyzing potential energy profiles of binding and unbinding trajectories.
  • The software demonstrated high accuracy and efficiency, with 90% successful calculations averaging 53 minutes per molecule on four processors.
  • Virtual screening identified potential drug candidates for cytochrome P450 17A1 and leukotriene A4 hydrolase/aminopeptidase.

Conclusions:

  • CaverDock is a fast, robust, and accurate computational tool for screening drug interactions with targets featuring buried functional sites.
  • The software facilitates the identification of novel drug candidates by analyzing molecular binding and unbinding pathways.
  • CaverDock is freely available as a standalone and web version, promoting its use in drug discovery research.