Solvent effects on conformational dynamics of proteins: Cytochrome c in a dried trehalose film

2002 ◽  
Vol 117 (9) ◽  
pp. 4594-4601 ◽  
Author(s):  
V. V. Ponkratov ◽  
J. Friedrich ◽  
J. M. Vanderkooi
2018 ◽  
Vol 79 ◽  
pp. 140-148 ◽  
Author(s):  
Gurusamy Muneeswaran ◽  
Subramanian Kartheeswaran ◽  
Kaliappan Muthukumar ◽  
Chandran Karunakaran

1999 ◽  
Vol 110 (6) ◽  
pp. 3229-3234 ◽  
Author(s):  
J. Schlichter ◽  
K.-D. Fritsch ◽  
J. Friedrich ◽  
J. M. Vanderkooi

2021 ◽  
Vol 94 (9) ◽  
Author(s):  
Mattia Bernetti ◽  
Giovanni Bussi

Abstract Small-angle X-ray scattering (SAXS) experiments are arising as an effective instrument in the structural characterization of biomolecules in solution. However, they suffer from limited resolution, and complementing them with molecular dynamics (MD) simulations can be a successful strategy to obtain information at a finer scale. To this end, tools that allow computing SAXS spectra from MD-sampled structures have been designed over the years, mainly differing in how the solvent contribution is accounted for. In this context, RNA molecules represent a particularly challenging case, as they can have a remarkable effect on the surrounding solvent. Herein, we provide a comparison of SAXS spectra computed through different available software packages for a prototypical RNA system. RNA conformational dynamics is intentionally neglected so as to focus on solvent effects. The results highlight that solvent effects are important also at relatively low scattering vector, suggesting that approaches explicitly modeling solvent contribution are advisable when comparing with experimental data, while more efficient implicit-solvent methods can be a better choice as reaction coordinates to improve MD sampling on-the-fly. Graphic abstract


2021 ◽  
Author(s):  
Marc Garcia-Borràs ◽  
S. B. Jennifer Kan ◽  
Russell D. Lewis ◽  
Allison Tang ◽  
Gonzalo Jiménez-Osés ◽  
...  

<div><div><div><p>A cytochrome c heme protein was recently engineered to catalyze the formation of carbon–silicon bonds via carbene insertion into Si–H bonds, a reaction that was not previously known to be catalyzed by a protein. High chemoselectivity towards C–Si bond formation over competing C–N bond formation was achieved, although this trait was not screened for during directed evolution. Using computational and experimental tools, we now establish that activity and chemoselectivity are modulated by conformational dynamics of a protein loop that covers the substrate access to the iron-carbene active species. Mutagenesis of residues computationally predicted to control the loop conformation altered the protein’s chemoselectivity from preferred silylation to preferred amination of a substrate containing both N–H and Si–H functionalities. We demonstrate that information on protein structure and conformational dynamics, combined with knowledge of mechanism, leads to understanding of how non-natural and selective chemical transformations can be introduced into the biological world.</p></div></div></div>


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