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A real-time proximity querying algorithm for haptic-based molecular docking.

Georgios Iakovou1, Steven Hayward, Stephen Laycock

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This study introduces an efficient octree-based method for real-time intermolecular force calculation in haptic-based molecular docking. This accelerates the discovery of drug-target interactions by enabling flexible molecule simulations on standard hardware.

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Area of Science:

  • Computational chemistry and molecular modeling.
  • Bioinformatics and drug discovery.
  • Human-computer interaction and haptics.

Background:

  • Intermolecular binding is fundamental to cellular processes and drug interactions.
  • Molecular docking simulates these interactions in silico.
  • Haptic-based docking enhances user interaction and intuition for accelerated docking.

Purpose of the Study:

  • To develop an efficient real-time method for computing intermolecular forces in haptic-based molecular docking.
  • To enable the modeling of molecular flexibility in interactive docking simulations.
  • To create a user-friendly, accessible haptic docking solution.

Main Methods:

  • Utilized octrees to decompose 3D search space for proximity querying of interacting atoms.
  • Developed a dynamic tree construction and real-time force calculation method.
  • Implemented the method in Haptimol_RD, a haptic-based, rigid-body molecular docking application.

Main Results:

  • Achieved real-time computation of intermolecular forces for large molecular structures (thousands of atoms).
  • Forces were computed within haptic refresh rates (1 kHz), enabling smooth manipulation.
  • Demonstrated successful rigid-body docking using haptic feedback on consumer-level hardware.

Conclusions:

  • The proposed octree-based proximity querying method efficiently computes intermolecular forces in real time.
  • This approach overcomes limitations of pre-computed force grids, paving the way for flexible molecular docking.
  • Haptimol_RD offers an accessible, immersive platform for molecular docking research.