Jm. Aramini et al., Conformational dynamics in mixed alpha/beta-oligonucleotides containing polarity reversals: A molecular dynamics study using time-averaged restraints, J BIOM NMR, 18(4), 2000, pp. 287-302
Nucleic acid duplexes featuring a single alpha-anomeric thymidine inserted
into each DNA strand via 3'-3' and 5'-5' phosphodiester linkages exhibit lo
cal conformational dynamics that are not adequately depicted by conventiona
l restrained molecular dynamics (rMD) methods. We have used molecular dynam
ics with time-averaged NMR restraints (MDtar) to explore its applicability
to describing the conformational dynamics of two alpha -containing duplexes
- d(GCGAAT-3'-3'-alphaT-5'-5'-CGC)(2) and d(ATGG-3'-3'-alphaT-5'-5'-GCTC).
r(gagcaccau). In contrast to rMD, enforcing NOE-based distance restraints o
ver a period of time in MDtar rather than instantaneously results in better
agreement with the experimental NOE and J-data. This conclusion is based o
n the dramatic decreases in average distance and coupling constant violatio
ns (Deltad(a)v, J(r)ms, and DeltaJ(a)v) and improvements in sixth-root R-fa
ctors (R-x). In both duplexes, the deoxyribose ring puckering behavior pred
icted independently by pseudorotation analysis is portrayed remarkably well
using this approach compared to rMD. This indicates that the local dynamic
behavior is encoded within the NOE data, although this is not obvious from
the local R-x values. In both systems, the backbone torsion angles compris
ing the 3'-3' linkage as well as the (high S-) sugars of the alpha -nucleot
ide and preceding residue (alpha -1) are relatively static, while the confo
rmations of the 5'-5' linkage and the sugar in the neighboring beta -nucleo
tide (alpha +1) show enhanced flexibility. To reduce the large ensembles ge
nerated by MDtar to more manageable clusters we utilized the PDQPRO program
. The resulting PDQPRO clusters (in both cases, 13 structures and associate
d probabilities extracted from a pool of 300 structures) adequately represe
nt the structural and dynamic characteristics predicted by the experimental
data.