Loading…
Direct evaluation of thermal fluctuations in proteins using a single-parameter harmonic potential
Background: An elastic network model is proposed for the interactions between closely (≤ 7.0 Å) located α-carbon pairs in folded proteins. A single-parameter harmonic potential is adopted for the fluctuations of residues about their mean positions in the crystal structure. The model is based on writ...
Saved in:
Published in: | Folding & design 1997-01, Vol.2 (3), p.173-181 |
---|---|
Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Summary: | Background: An elastic network model is proposed for the interactions between closely (≤ 7.0 Å) located
α-carbon pairs in folded proteins. A single-parameter harmonic potential is adopted for the fluctuations of residues about their mean positions in the crystal structure. The model is based on writing the Kirchhoff adjacency matrix for a protein defining the proximity of residues in space. The elements of the inverse of the Kirchhoff matrix give directly the auto-correlations or cross-correlations of atomic fluctuations.
Results: The temperature factors of the C
α
atoms of 12 X-ray structures, ranging from a 41 residue subunit to a 633 residue dimer, are accurately predicted. Cross-correlations are also efficiently characterized, in close agreement with results obtained with a normal mode analysis coupled with energy minimization.
Conclusions: The simple model and method proposed here provide a satisfactory description of the correlations between atomic fluctuations. Furthermore, this is achieved within computation times at least one order of magnitude shorter than commonly used molecular approaches. |
---|---|
ISSN: | 1359-0278 1878-5808 |
DOI: | 10.1016/S1359-0278(97)00024-2 |