scholarly journals Length Dependent Folding Kinetics of Alanine-Based Helical Peptides from Optimal Dimensionality Reduction

Life ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 385
Author(s):  
Krzysztof Kuczera ◽  
Robert Szoszkiewicz ◽  
Jinyan He ◽  
Gouri S. Jas

We present a computer simulation study of helix folding in alanine homopeptides (ALA)n of length n = 5, 8, 15, and 21 residues. Based on multi-microsecond molecular dynamics simulations at room temperature, we found helix populations and relaxation times increasing from about 6% and ~2 ns for ALA5 to about 60% and ~500 ns for ALA21, and folding free energies decreasing linearly with the increasing number of residues. The helix folding was analyzed with the Optimal Dimensionality Reduction method, yielding coarse-grained kinetic models that provided a detailed representation of the folding process. The shorter peptides, ALA5 and ALA8, tended to convert directly from coil to helix, while ALA15 and ALA21 traveled through several intermediates. Coarse-grained aggregate states representing the helix, coil, and intermediates were heterogeneous, encompassing multiple peptide conformations. The folding involved multiple pathways and interesting intermediate states were present on the folding paths, with partially formed helices, turns, and compact coils. Statistically, helix initiation was favored at both termini, and the helix was most stable in the central region. Importantly, we found the presence of underlying universal local dynamics in helical peptides with correlated transitions for neighboring hydrogen bonds. Overall, the structural and dynamical parameters extracted from the trajectories are in good agreement with experimental observables, providing microscopic insights into the complex helix folding kinetics.

2021 ◽  
Vol 17 (7) ◽  
pp. e1009253
Author(s):  
Giovanni B. Brandani ◽  
Cheng Tan ◽  
Shoji Takada

The organization of nucleosomes along the Eukaryotic genome is maintained over time despite disruptive events such as replication. During this complex process, histones and DNA can form a variety of non-canonical nucleosome conformations, but their precise molecular details and roles during nucleosome assembly remain unclear. In this study, employing coarse-grained molecular dynamics simulations and Markov state modeling, we characterized the complete kinetics of nucleosome assembly. On the nucleosome-positioning 601 DNA sequence, we observe a rich transition network among various canonical and non-canonical tetrasome, hexasome, and nucleosome conformations. A low salt environment makes nucleosomes stable, but the kinetic landscape becomes more rugged, so that the system is more likely to be trapped in off-pathway partially assembled intermediates. Finally, we find that the co-operativity between DNA bending and histone association enables positioning sequence motifs to direct the assembly process, with potential implications for the dynamic organization of nucleosomes on real genomic sequences.


2011 ◽  
Vol 10 (03) ◽  
pp. 261-278 ◽  
Author(s):  
RINI GUPTA ◽  
AMALENDU CHANDRA

The dynamical properties of acetone–methanol mixtures containing either an ionic or a neutral hydrophobic solute are investigated by means of a series of molecular dynamics simulations. The primary goal has been to study how the solute and solvent dynamical properties change with variation of composition of the mixture ranging from pure acetone to pure methanol. The variations of structure and energetics of the mixture with composition are also calculated. The diffusion coefficients of both ionic and neutral solutes are found to show nonlinear variation with composition of the mixture, although the extent of nonlinearity in the diffusion of the neutral solute is much weaker. Calculations of appropriate solute-solvent distribution functions reveal the extent and nature of selective solvation of these solute species which play a role in determining the nonideal dynamical characteristics of these solutes. The free energies of solvation of the ionic solutes are also calculated and the results are discussed in the context of their dynamical behavior. The hydrogen bond statistics and dynamics of these mixtures are also calculated over their entire composition range. The energies and lifetimes of hydrogen bonds between an acetone and a methanol molecule or between two methanol molecules are found to increase with increase of acetone mole fraction of the mixture. Residence times of methanol molecules in solvation shells of acetone and methanol are also found to follow the same trend as relaxation times. However, these pair dynamical properties show essentially linear dependence on composition, thus behave almost ideally with respect to changes in composition of the mixture.


Author(s):  
Giovanni B. Brandani ◽  
Cheng Tan ◽  
Shoji Takada

AbstractThe organization of nucleosomes along the Eukaryotic genome is maintained over time despite disruptive events such as replication. During this complex process, histones and DNA can form a variety of non-canonical nucleosome conformations, but their precise molecular details and roles during nucleosome assembly remain unclear. In this study, employing coarse-grained molecular dynamics simulations and Markov state modeling, we characterized the complete kinetics of nucleosome assembly. On the nucleosome-positioning 601 DNA sequence, we observe a rich transition network among various canonical and non-canonical tetrasome, hexasome, and nucleosome conformations. A low salt environment makes nucleosomes stable, but the kinetic landscape becomes more rugged, so that the system is more likely to be trapped in off-pathway partially assembled intermediates. We find that the co-operativity between DNA bending and histone association enables positioning sequence motifs to direct the assembly process, with potential implications for the dynamic organization of nucleosomes on real genomic sequences.


2020 ◽  
Author(s):  
Florencia Klein ◽  
Daniela Cáceres-Rojas ◽  
Monica Carrasco ◽  
Juan Carlos Tapia ◽  
Julio Caballero ◽  
...  

<p>Although molecular dynamics simulations allow for the study of interactions among virtually all biomolecular entities, metal ions still pose significant challenges to achieve an accurate structural and dynamical description of many biological assemblies. This is particularly the case for coarse-grained (CG) models. Although the reduced computational cost of CG methods often makes them the technique of choice for the study of large biomolecular systems, the parameterization of metal ions is still very crude or simply not available for the vast majority of CG- force fields. Here, we show that incorporating statistical data retrieved from the Protein Data Bank (PDB) to set specific Lennard-Jones interactions can produce structurally accurate CG molecular dynamics simulations. Using this simple approach, we provide a set of interaction parameters for Calcium, Magnesium, and Zinc ions, which cover more than 80% of the metal-bound structures reported on the PDB. Simulations performed using the SIRAH force field on several proteins and DNA systems show that using the present approach it is possible to obtain non-bonded interaction parameters that obviate the use of topological constraints. </p>


Author(s):  
Phillip Mark Rodger ◽  
Caroline Montgomery ◽  
Giovanni Costantini ◽  
Alison Rodger

The formation and stability of diphenylalanine fibres are studied by combining molecular dynamics simulations with microscopy and spectroscopy experiments, quantitatively detailing their morphology, energetics and growth kinetics.


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