posted on 2022-08-01, 15:37authored byAbhishek
A. Kognole, Anthony Hazel, Alexander D. MacKerell
RNA molecules can act as potential drug targets in different
diseases,
as their dysregulated expression or misfolding can alter various cellular
processes. Noncoding RNAs account for ∼70% of the human genome,
and these molecules can have complex tertiary structures that present
a great opportunity for targeting by small molecules. In the present
study, the site identification by ligand competitive saturation (SILCS)
computational approach is extended to target RNA, termed SILCS-RNA.
Extensions to the method include an enhanced oscillating excess chemical
potential protocol for the grand canonical Monte Carlo calculations
and individual simulations of the neutral and charged solutes from
which the SILCS functional group affinity maps (FragMaps) are calculated
for subsequent binding site identification and docking calculations.
The method is developed and evaluated against seven RNA targets and
their reported small molecule ligands. SILCS-RNA provides a detailed
characterization of the functional group affinity pattern in the small
molecule binding sites, recapitulating the types of functional groups
present in the ligands. The developed method is also shown to be useful
for identification of new potential binding sites and identifying
ligand moieties that contribute to binding, granular information that
can facilitate ligand design. However, limitations in the method are
evident including the ability to map the regions of binding sites
occupied by ligand phosphate moieties and to fully account for the
wide range of conformational heterogeneity in RNA associated with
binding of different small molecules, emphasizing inherent challenges
associated with applying computer-aided drug design methods to RNA.
While limitations are present, the current study indicates how the
SILCS-RNA approach may enhance drug discovery efforts targeting RNAs
with small molecules.