Abstract
A coarse-grained dynamic Monte Carlo method is proposed for investigating the conformational dynamics of proteins. Each residue is represented by two interaction sites, one at the α-carbon, and the other on the amino acid sidechain. Geometry and energy parameters extracted from databank structures are used. The method is applied to the crystal structure of apomyoglobin (apo-Mb). Equilibrium and dynamic properties of apo-Mb are characterized within computation times one order of magnitude shorter than conventional molecular dynamics (MD) simulations. The calculated rms fluctuations in α-carbons are in good agreement with crystallographic temperature factors. Regions exhibiting enhanced conformational mobilities are identified. Among the loops connecting the eight helices A to H, the loop CD undergoes the fastest motions, leading to partial unwinding of helix D. Helix G is the most stable helix on the basis of the kinetic stability of dihedral angles, followed by the respective helices A, E, H, and B. These results, in agreement with H/D exchange and two-dimensional NMR experiments, as well as with MD simulations, lend support to the use of the proposed approach as an efficient, yet physically plausible, means of characterizing protein conformational dynamics.
| Original language | English |
|---|---|
| Pages (from-to) | 271-281 |
| Number of pages | 11 |
| Journal | Proteins: Structure, Function and Bioinformatics |
| Volume | 31 |
| Issue number | 3 |
| DOIs | |
| State | Published - May 15 1998 |
Keywords
- Cooperative motions
- Correlations between atomic fluctuations
- Dynamic Monte Carlo
- Helix unwinding
- Knowledge-based potentials
- Low resolution models
- Unfolding kinetics
- Virtual bond rotations
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