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Macrocycle conformational sampling with MacroModel.

K Shawn Watts1, Pranav Dalal, Andrew J Tebben

  • 1Schrödinger, Inc. , 101 SW Main Street, Suite 1300, Portland, Oregon 97204, United States.

Journal of Chemical Information and Modeling
|September 19, 2014
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Summary
This summary is machine-generated.

A new computational method improves the sampling of low-energy conformations for macrocycles. This approach, using molecular dynamics (MD) simulations, identifies more accurate molecular structures than previous methods.

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Area of Science:

  • Computational chemistry
  • Molecular modeling
  • Drug discovery

Background:

  • Sampling low-energy conformations of macrocycles is computationally intensive due to their large size and structural complexity.
  • Existing conformational search methods often struggle to efficiently explore the conformational space of macrocyclic molecules.

Purpose of the Study:

  • To develop and validate a novel computational method for enhanced conformational sampling of macrocycles.
  • To assess the performance of the new method against existing techniques using benchmark datasets.

Main Methods:

  • A new conformational search protocol was developed, integrating short molecular dynamics (MD) simulations with minimization and normal-mode analysis.
  • The method was parameterized using a diverse set of 100 macrocycles from the Protein Data Bank (PDB) and Cambridge Structural Database (CSD).
  • Performance was evaluated on a public dataset and a new set of 50 macrocycles, comparing results with alternative methods using the MMFFs force field in vacuum.

Main Results:

  • The developed method identified lower energy conformations compared to alternative approaches when using the same force field (MMFFs in vacuum).
  • For a set of 50 macrocycles, the mean and median RMSD values for ring atoms were 0.60 Å and 0.33 Å, respectively, indicating good accuracy.
  • Larger macrocycles ( >30 ring atoms) exhibited larger RMSD values, suggesting potential challenges for very large systems.

Conclusions:

  • The new conformational search method offers improved efficiency and accuracy for macrocycle conformational sampling.
  • The method shows promise for applications in drug discovery and molecular design involving macrocyclic compounds.
  • Further refinements are needed to optimize performance for very large macrocyclic systems.