Reweighting of molecular simulations with explicit-solvent SAXS restraints elucidates ion-dependent RNA ensembles.
Reweighting of molecular simulations with explicit-solvent SAXS restraints elucidates ion-dependent RNA ensembles.
复制标题
明确的溶剂SAXS限制的分子模拟的重新加权阐明了离子依赖性RNA合奏。
DOI:
10.1093/nar/gkab459
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发表时间:
2021-08-20
影响因子:
14.9
通讯作者:
Bussi G
中科院分区:
文献类型:
--
作者:
Bernetti M;Hall KB;Bussi G
Small-angle X-ray scattering (SAXS) experiments are increasingly used to probe RNA structure. A number of forward models that relate measured SAXS intensities and structural features, and that are suitable to model either explicit-solvent effects or solute dynamics, have been proposed in the past years. Here, we introduce an approach that integrates atomistic molecular dynamics simulations and SAXS experiments to reconstruct RNA structural ensembles while simultaneously accounting for both RNA conformational dynamics and explicit-solvent effects. Our protocol exploits SAXS pure-solute forward models and enhanced sampling methods to sample an heterogenous ensemble of structures, with no information towards the experiments provided on-the-fly. The generated structural ensemble is then reweighted through the maximum entropy principle so as to match reference SAXS experimental data at multiple ionic conditions. Importantly, accurate explicit-solvent forward models are used at this reweighting stage. We apply this framework to the GTPase-associated center, a relevant RNA molecule involved in protein translation, in order to elucidate its ion-dependent conformational ensembles. We show that (a) both solvent and dynamics are crucial to reproduce experimental SAXS data and (b) the resulting dynamical ensembles contain an ion-dependent fraction of extended structures.
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影响因子:
13.6
作者:
Bonomi M;Camilloni C;Cavalli A;Vendruscolo M
通讯作者:
Vendruscolo M
影响因子:
1.7
作者:
Bussi, Giovanni
通讯作者:
Bussi, Giovanni
影响因子:
14.9
作者:
Bottaro S;Di Palma F;Bussi G
通讯作者:
Bussi G
影响因子:
13.6
作者:
Bottaro S;Bussi G;Kennedy SD;Turner DH;Lindorff-Larsen K
通讯作者:
Lindorff-Larsen K
影响因子:
5.6
作者:
Conn, GL;Gittis, AG;Draper, DE
通讯作者:
Draper, DE