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@ARTICLE{Berdnikova:904540,
author = {Berdnikova, Daria V. and Carloni, Paolo and Krauß, Sybille
and Rossetti, Giulia},
title = {{R}ole and {P}erspective of {M}olecular
{S}imulation-{B}ased {I}nvestigation of {RNA}–{L}igand
{I}nteraction: {F}rom {S}mall {M}olecules and {P}eptides to
{P}hotoswitchable {RNA} {B}inding},
journal = {Molecules},
volume = {26},
number = {11},
issn = {1420-3049},
address = {Basel},
publisher = {MDPI},
reportid = {FZJ-2021-06110},
pages = {3384 -},
year = {2021},
abstract = {Aberrant RNA–protein complexes are formed in a variety of
diseases. Identifying the ligands that interfere with their
formation is a valuable therapeutic strategy. Molecular
simulation, validated against experimental data, has
recently emerged as a powerful tool to predict both the pose
and energetics of such ligands. Thus, the use of molecular
simulation may provide insight into aberrant molecular
interactions in diseases and, from a drug design
perspective, may allow for the employment of less wet lab
resources than traditional in vitro compound screening
approaches. With regard to basic research questions,
molecular simulation can support the understanding of the
exact molecular interaction and binding mode. Here, we focus
on examples targeting RNA–protein complexes in
neurodegenerative diseases and viral infections. These
examples illustrate that the strategy is rather general and
could be applied to different pharmacologically relevant
approaches. We close this study by outlining one of these
approaches, namely the light-controllable association of
small molecules with RNA, as an emerging approach in
RNA-targeting therapy.},
cin = {IAS-5 / INM-9 / JSC},
ddc = {540},
cid = {I:(DE-Juel1)IAS-5-20120330 / I:(DE-Juel1)INM-9-20140121 /
I:(DE-Juel1)JSC-20090406},
pnm = {5241 - Molecular Information Processing in Cellular Systems
(POF4-524) / 5111 - Domain-Specific Simulation $\&$ Data
Life Cycle Labs (SDLs) and Research Groups (POF4-511)},
pid = {G:(DE-HGF)POF4-5241 / G:(DE-HGF)POF4-5111},
typ = {PUB:(DE-HGF)16},
pubmed = {34205049},
UT = {WOS:000660377100001},
doi = {10.3390/molecules26113384},
url = {https://juser.fz-juelich.de/record/904540},
}