Abstract
A protein energy surface is constructed. Validation is through applications of global energy minimization to surface loops of protein crystal structures. For 9 of 10 predictions, the native backbone conformation is identified correctly. Electrostatic energy is modeled as a pairwise sum of interactions between anisotropic atomic charge densities. Model repulsion energy has a softness similar to that seen in ab initio data. Intrinsic torsional energy is modeled as a sum over pairs of adjacent torsion angles of 2-dimensional Fourier series. Hydrophobic energy is that of a hydration shell model. The remainder of hydration free energy is obtained as the energetic effect of a continuous dielectric medium. Parameters are adjusted to reproduce the following data: a complete set of ab initio energy surfaces, meaning one for each pair of adjacent torsion angles of each blocked amino acid; experimental crystal structures and sublimation energies for nine model compounds; ab initio energies over 1014 conformations of 15 small-molecule dimers; and experimental hydration free energies for 48 model compounds. All ab initio data is at the Hartree-Fock/6-31G* level.
| Original language | English |
|---|---|
| Pages (from-to) | 548-573 |
| Number of pages | 26 |
| Journal | Journal of Computational Chemistry |
| Volume | 19 |
| Issue number | 5 |
| DOIs | |
| State | Published - Apr 15 1998 |
Keywords
- Atomic multipoles
- Energy functions
- Global energy minimization
- Hydration free energy
- Structure prediction
- Surface loops
Fingerprint
Dive into the research topics of 'Protein structure prediction using a combination of sequence homology and global energy minimization: II. Energy functions'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver