<p class="first" id="d499790e161">Backbone (
<sup>15</sup>N) NMR relaxation is one of the main sources of information on dynamics
of disordered
proteins. Yet, we do not know very well what drives
<sup>15</sup>N relaxation in such systems, i.e., how different forms of motion contribute
to the
measurable relaxation rates. To address this problem, we have investigated, both experimentally
and via molecular dynamics simulations, the dynamics of a 26-residue peptide imitating
the N-terminal portion of the histone protein H4. One part of the peptide was found
to be fully flexible, whereas the other part features some transient structure (a
hairpin stabilized by hydrogen bonds). The following motional modes proved relevant
for
<sup>15</sup>N relaxation. 1) Sub-picosecond librations attenuate relaxation rates
according to
<i>S</i>
<sup>2</sup> ∼0.85–0.90. 2) Axial peptide-plane fluctuations along a stretch of the
peptide chain
contribute to relaxation-active dynamics on a fast timescale (from tens to hundreds
of picoseconds). 3)
<i>φ</i>/
<i>ψ</i> backbone jumps contribute to relaxation-active dynamics on both fast (from
tens to
hundreds of picoseconds) and slow (from hundreds of picoseconds to a nanosecond) timescales.
The major contribution is from polyproline II (PPII) ↔
<i>β</i> transitions in the Ramachandran space; in the case of glycine residues, the
major
contribution is from PPII ↔ (
<i>β</i>) ↔ rPPII transitions, in which rPPII is the mirror-image (right-handed) version
of
the PPII geometry, whereas
<i>β</i> geometry plays the role of an intermediate state. 4) Reorientational motion
of certain
(sufficiently long-lived) elements of transient structure, i.e., rotational tumbling,
contributes to slow relaxation-active dynamics on ∼1-ns timescale (however, it is
difficult to isolate this contribution). In conclusion, recent advances in the area
of force-field development have made it possible to obtain viable Molecular Dynamics
models of protein disorder. After careful validation against the experimental relaxation
data, these models can provide a valuable insight into mechanistic origins of spin
relaxation in disordered peptides and proteins.
</p>