4.4 Article

New energy terms for reduced protein models implemented in an off-lattice force field

Journal

JOURNAL OF COMPUTATIONAL CHEMISTRY
Volume 22, Issue 12, Pages 1229-1242

Publisher

JOHN WILEY & SONS INC
DOI: 10.1002/jcc.1080

Keywords

proteins; reduced models; protein structure prediction; force fields; molecular dynamics

Ask authors/readers for more resources

Parameterization and test calculations of a reduced protein model with new energy terms are presented. The new energy terms retain the steric properties and the most significant degrees of freedom of protein side chains in an efficient way using only one to three virtual atoms per amino acid residue. The energy terms are implemented in a force field containing predefined secondary structure elements as constraints, electrostatic interaction terms, and a solvent-accessible surface area term to include the effect of solvation. In the force field the main-chain peptide units are modeled as electric dipoles, which have constant directions in alpha -helices and beta -sheets and variable conformation-dependent directions in loops. Protein secondary structures can be readily modeled using these dipole terms. Parameters of the force field were derived using a large set of experimental protein structures and refined by minimizing RMS errors between the experimental structures and structures generated using molecular dynamics simulations. The final average RMS error was 3.7 Angstrom for the main-chain virtual atoms (C-alpha atoms) and 4.2 Angstrom for all virtual atoms for a test set of 10 proteins with 58-294 an-Lino acid residues. The force field was further tested with a substantially larger test set of 608 proteins yielding somewhat lower accuracy. The fold recognition capabilities of the force field were also evaluated using a set of 27,814 misfolded decoy structures. (C) 2001 John Wiley & Sons, Inc.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.4
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available