Detailed Information on Publication Record
2022
Spontaneous binding of single-stranded RNAs to RRM proteins visualized by unbiased atomistic simulations with a rescaled RNA force field
KREPL, Miroslav, Pavlína POKORNÁ, Vojtěch MLÝNSKÝ, Petr STADLBAUER, Jiří ŠPONER et. al.Basic information
Original name
Spontaneous binding of single-stranded RNAs to RRM proteins visualized by unbiased atomistic simulations with a rescaled RNA force field
Authors
KREPL, Miroslav (203 Czech Republic, guarantor), Pavlína POKORNÁ (203 Czech Republic, belonging to the institution), Vojtěch MLÝNSKÝ, Petr STADLBAUER (203 Czech Republic) and Jiří ŠPONER (203 Czech Republic)
Edition
Nucleic Acids Research, Oxford University Press, 2022, 0305-1048
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
10608 Biochemistry and molecular biology
Country of publisher
United Kingdom of Great Britain and Northern Ireland
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
Impact factor
Impact factor: 14.900
RIV identification code
RIV/00216224:14310/22:00128192
Organization unit
Faculty of Science
UT WoS
000910551800001
Keywords in English
protein/RNA complexes; RRM proteins; atomistic simulations
Tags
Tags
International impact, Reviewed
Změněno: 11/7/2023 10:05, Mgr. Marie Šípková, DiS.
Abstract
V originále
Recognition of single-stranded RNA (ssRNA) by RNA recognition motif (RRM) domains is an important class of protein–RNA interactions. Many such complexes were characterized using nuclear magnetic resonance (NMR) and/or X-ray crystallography techniques, revealing ensemble-averaged pictures of the bound states. However, it is becoming widely accepted that better understanding of protein–RNA interactions would be obtained from ensemble descriptions. Indeed, earlier molecular dynamics simulations of bound states indicated visible dynamics at the RNA–RRM interfaces. Here, we report the first atomistic simulation study of spontaneous binding of short RNA sequences to RRM domains of HuR and SRSF1 proteins. Using a millisecond-scale aggregate ensemble of unbiased simulations, we were able to observe a few dozen binding events. HuR RRM3 utilizes a pre-binding state to navigate the RNA sequence to its partially disordered bound state and then to dynamically scan its different binding registers. SRSF1 RRM2 binding is more straightforward but still multiple-pathway. The present study necessitated development of a goal-specific force field modification, scaling down the intramolecular van der Waals interactions of the RNA which also improves description of the RNA–RRM bound state. Our study opens up a new avenue for large-scale atomistic investigations of binding landscapes of protein–RNA complexes, and future perspectives of such research are discussed.
Links
LM2018140, research and development project |
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