We have investigated the carbon-13 solution nuclear
magnetic resonance (NMR) chemical shifts of
Cα,
Cβ, and Cγ carbons of 19 valine residues in
a vertebrate calmodulin, a nuclease from Staphylococcus
aureus, and a
ubiquitin. Using empirical chemical shift surfaces to predict
Cα, Cβ shifts from known, X-ray φ,ψ
values, we find
moderate accord between prediction and experiment. Ab
initio calculations with coupled Hartree−Fock (HF)
methods
and X-ray structures yield poor agreement with experiment. There
is an improvement in the ab
initio results
when
the side chain χ1 torsion angles are adjusted to their
lowest energy conformers, using either ab initio quantum
chemical
or empirical methods, and a further small improvement when the effects
of peptide-backbone charge fields are
introduced. However, although the theoretical and experimental
results are highly correlated (R
2 ∼ 0.90), the
observed
slopes of ∼−0.6−0.8 are less than the ideal value of −1, even
when large uniform basis sets are used. Use of
density functional theory (DFT) methods improves the quality of the
predictions for both Cα (slope = −1.1,
R
2 =
0.91) and Cβ (slope = −0.93,
R
2 = 0.89), as well as giving moderately good
results for Cγ. This effect is thought
to arise from a small, conformationally-sensitive contribution to
shielding arising from electron correlation.
Additional
shielding calculations on model compounds reveal similar effects.
Results for valine residues in interleukin-1β are
less highly correlated, possibly due to larger crystal−solution
structural differences. When taken together, these
results for 19 valine residues in 3 proteins indicate that choosing the
lowest energy χ1 conformer together with
X-ray
φ,ψ values enables the successful prediction of both
Cα and Cβ shifts, with DFT giving close to
ideal slopes and R
2
values between theory and experiment. These results strongly
suggest that the most highly populated valine side-chain conformers are those having the lowest (computationally
determined) energy, as evidenced by the ability to
predict essentially all Cα, Cβ chemical
shifts in calmodulin, SNase, and ubiquitin, as well as moderate accord
for Cγ.
These observations suggest a role for chemical shifts and energy
minimization/geometry optimization in the refinement
of protein structures in solution, and potentially in the solid state
as well.