Current macromolecular energy minimization algorithms become inefficient and prone to failure when bond length constraints are imposed. They are required to relieve steric stresses in biomolecules prior to a molecular dynamics simulation. Unfortunately, the latter often require constraints, leading
A stable, rapidly converging conjugate gradient method for energy minimization
โ Scribed by Stanley J. Watowich; Eric S. Meyer; Ray Hagstrom; Robert Josephs
- Publisher
- John Wiley and Sons
- Year
- 1988
- Tongue
- English
- Weight
- 908 KB
- Volume
- 9
- Category
- Article
- ISSN
- 0192-8651
No coin nor oath required. For personal study only.
โฆ Synopsis
We apply Shanno's conjugate gradient algorithm to the problem of minimizing the potential energy function associated with molecular mechanical calculations. Shanno's algorithm is stable with respect to roundoff errors and inexact line searches and converges rapidly to a minimum. Equally important, this algorithm can improve the rate of convergence to a minimum by a factor of 5 relative to Fletcher-Reeves or Polak-RibiBre minimizers when used within the molecular mechanics package AMBER. Comparable improvements are found for a limited number of simulations when the Polak-RibiBre direction vector is incorporated into the Shanno algorithm.
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