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Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis
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Fast and accurate grid representations for atom-based docking with partner flexibility.

Sjoerd J de Vries1, Martin Zacharias1

  • 1MTi, UMR-S 973, Physics Department T38, Technische Universität München, James-Franck-Strasse 1, 85748, Garching, Germany.

Journal of Computational Chemistry
|May 3, 2017
PubMed
Summary
This summary is machine-generated.

A new hybrid docking method combines grid-based and atom-based approaches for faster and more accurate molecular simulations. This advance significantly speeds up calculations, enabling the study of larger and more complex biological systems.

Keywords:
intermolecular energymacromolecular dockingprotein flexibility

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Area of Science:

  • Computational biology
  • Biophysics
  • Molecular modeling

Background:

  • Macromolecular docking methods are crucial for understanding molecular interactions.
  • Existing methods are either fast but simplified (geometric) or accurate but slow (atom-based).
  • A need exists for efficient and accurate docking approaches to tackle complex biological problems.

Purpose of the Study:

  • To develop a hybrid docking approach combining grid-based and atom-based methods.
  • To enhance the speed and accuracy of macromolecular docking calculations.
  • To enable the exploration of larger conformational spaces and more complex biological systems.

Main Methods:

  • Developed a hybrid docking strategy integrating precalculated grid potentials with neighbor lists.
  • Implemented this approach within the ATTRACT docking method.
  • Utilized both the ATTRACT coarse-grained force field and the OPLSX force field for performance evaluation.

Main Results:

  • The hybrid grid-based docking approach achieved speed improvements of approximately 35x with the ATTRACT force field.
  • Using the OPLSX force field, the average speed improvement exceeded 100x.
  • The grid representation demonstrated compatibility with simultaneous multibody docking and protein flexibility.

Conclusions:

  • The hybrid grid-based docking method offers a significant speed-up over traditional atom-based approaches.
  • This method enhances the ability to study systems with high degrees of freedom, including multiple flexible macromolecules.
  • The improved efficiency expands the applicability of docking methods to a broader range of complex biological problems.