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Comparing Fragment Binding Poses Prediction Using HSP90 as a Key Study: When Bound Water Makes the Difference.

Giovanni Bolcato1, Maicol Bissaro1, Mattia Sturlese1

  • 1Molecular Modeling Section, Department of Pharmaceutical and Pharmacological Sciences, University of Padova, 35131 Padova, Italy.

Molecules (Basel, Switzerland)
|October 15, 2020
PubMed
Summary

Fragment-based drug discovery (FBDD) computational predictions are challenging due to bound water. This study confirms water

Keywords:
HSP-90fragment-based drug discoverymolecular dockingmolecular dynamicssupervised molecular dynamicswater

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Area of Science:

  • Computational chemistry
  • Structural biology
  • Drug discovery

Background:

  • Fragment-Based Drug Discovery (FBDD) is increasingly used in research and industry.
  • Accurately predicting fragment binding modes computationally remains a significant challenge.
  • Bound water molecules in protein binding sites play a critical role in fragment binding affinity.

Purpose of the Study:

  • To confirm the importance of bound water molecules in fragment binding mode prediction.
  • To investigate if explicit solvent molecular dynamics simulations enhance fragment posing accuracy.
  • To study fragment binding to the HSP-90 protein.

Main Methods:

  • Computational analysis of fragment binding modes.
  • Explicit solvent molecular dynamics simulations.
  • Focus on the HSP-90 protein and its binding pocket waters.

Main Results:

  • The study confirmed the critical role of bound water molecules in correctly predicting fragment binding modes.
  • Explicit solvent molecular dynamics simulations were investigated for their potential to improve fragment posing accuracy.
  • The findings highlight the necessity of accounting for hydration effects in FBDD.

Conclusions:

  • Bound water molecules are essential for accurate computational prediction of fragment binding modes in FBDD.
  • Explicit solvent simulations show promise for improving fragment posing accuracy.
  • Understanding water's role is key for advancing FBDD strategies, particularly for targets like HSP-90.