A. Maier et al., Force field based conformational analysis of RNA structural motifs: GNRA tetraloops and their pyrimidine relatives, EUR BIOPHYS, 28(7), 1999, pp. 564-573
Citations number
40
Categorie Soggetti
Biochemistry & Biophysics
Journal title
EUROPEAN BIOPHYSICS JOURNAL WITH BIOPHYSICS LETTERS
The protocol of conformational analysis applied here to ribonucleotide olig
omers combines conformational search in the space of torsion angles and ene
rgy minimization using the AMBER4.1 force field with a continuum treatment
of electrostatic solute-solvent interactions. RNA fragments with 5'-CGGCCNN
AGCCU-3' sequences commonly fold into hairpins with four-membered loops. Th
e combinatorial search for acceptable conformations using the MC-SYM progra
m was restricted to loop nucleotides and yielded roughly 1500 structures be
ing compatible with a double-stranded stem. After energy minimization by th
e JUMNA program (without applying any experimental constraints), these stru
ctures converged into an ensemble of 74 different conformers including 26 s
tructures which contained the sheared G-A base pair observed in experimenta
l studies of GNRA tetraloops. Energetic analysis shouts that inclusion of s
olvent electrostatic effects is critically important for the selection of c
onformers that agree with experimentally determined structures. The continu
um model accounts for solvent polarization by means of the electrostatic re
action field. In the case of GNRA loop sequences, the contributions of the
reaction field shift relative stabilities towards conformations showing mos
t of the structural features derived from NMR studies. The agreement of com
puted conformations with the experimental structures of GAAA, GCAA, and GAG
A tetraloops suggests that the continuum treatment of the solvent represent
s a definitive improvement over methods using simple damping models in elec
trostatic energy calculations. Application of the procedure described here
to the evaluation of the relative stabilities of conformers resulting from
searching the conformational space of RNA structural motifs provides some p
rogress in (non-homology based) RNA 3D-structure prediction.