Using all-atom simulations in explicit solvent to study aggregation of amphipathic peptides into amyloid-like fibrils

2021 ◽  
pp. 118283
Author(s):  
Sharareh Jalali ◽  
Yanxing Yang ◽  
Farbod Mahmoudinobar ◽  
Shaneen M. Singh ◽  
Bradley Nilsson ◽  
...  
1989 ◽  
Vol 264 (16) ◽  
pp. 9215-9219
Author(s):  
E V Jorgensen ◽  
G M Anantharamaiah ◽  
J P Segrest ◽  
J T Gwynne ◽  
S Handwerger

2021 ◽  
Vol 22 (3) ◽  
pp. 1364
Author(s):  
V. V. Krishnan ◽  
Timothy Bentley ◽  
Alina Xiong ◽  
Kalyani Maitra

Both nuclear magnetic resonance (NMR) and molecular dynamics (MD) simulations are routinely used in understanding the conformational space sampled by peptides in the solution state. To investigate the role of single-residue change in the ensemble of conformations sampled by a set of heptapeptides, AEVXEVG with X = L, F, A, or G, comprehensive NMR, and MD simulations were performed. The rationale for selecting the particular model peptides is based on the high variability in the occurrence of tri-peptide E*L between the transmembrane β-barrel (TMB) than in globular proteins. The ensemble of conformations sampled by E*L was compared between the three sets of ensembles derived from NMR spectroscopy, MD simulations with explicit solvent, and the random coil conformations. In addition to the estimation of global determinants such as the radius of gyration of a large sample of structures, the ensembles were analyzed using principal component analysis (PCA). In general, the results suggest that the -EVL- peptide indeed adopts a conformational preference that is distinctly different not only from a random distribution but also from other peptides studied here. The relatively straightforward approach presented herein could help understand the conformational preferences of small peptides in the solution state.


2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Nicholas J. Fowler ◽  
Adnan Sljoka ◽  
Mike P. Williamson

AbstractWe present a method that measures the accuracy of NMR protein structures. It compares random coil index [RCI] against local rigidity predicted by mathematical rigidity theory, calculated from NMR structures [FIRST], using a correlation score (which assesses secondary structure), and an RMSD score (which measures overall rigidity). We test its performance using: structures refined in explicit solvent, which are much better than unrefined structures; decoy structures generated for 89 NMR structures; and conventional predictors of accuracy such as number of restraints per residue, restraint violations, energy of structure, ensemble RMSD, Ramachandran distribution, and clashscore. Restraint violations and RMSD are poor measures of accuracy. Comparisons of NMR to crystal structures show that secondary structure is equally accurate, but crystal structures are typically too rigid in loops, whereas NMR structures are typically too floppy overall. We show that the method is a useful addition to existing measures of accuracy.


2021 ◽  
Vol 1863 (3) ◽  
pp. 183537
Author(s):  
Malika Ouldali ◽  
Karine Moncoq ◽  
Agnès de la Croix de la Valette ◽  
Ana A. Arteni ◽  
Jean-Michel Betton ◽  
...  

2014 ◽  
Vol 82 (7) ◽  
pp. 1319-1331 ◽  
Author(s):  
Garrett B. Goh ◽  
Benjamin S. Hulbert ◽  
Huiqing Zhou ◽  
Charles L. Brooks

2010 ◽  
Vol 6 (6) ◽  
pp. 1871-1883 ◽  
Author(s):  
Alok Juneja ◽  
Jorge Numata ◽  
Lennart Nilsson ◽  
Ernst Walter Knapp

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