The Hidden Transition Paths During the Unfolding of Individual Peptides with a Confined Nanopore

2018 ◽  
Author(s):  
Yi-Lun Ying ◽  
Shao-Chuang Liu ◽  
Xin Shi ◽  
Wei-hua Li ◽  
Yong-jing Wan ◽  
...  

A fundamental question in peptide folding/unfolding is how the peptide fleets through a set of transition states which dominate the dynamics of biomolecular folding path. Owing to their rapid duration and sub-nm structure difference, however, they have always been oversimplified because of limited instrumental resolution.<sup>1-3</sup> Moreover, the most experiments indicate a single fold pathway while the simulations suggest peptides owns the preference in multiple pathways. <a></a><a></a><a>Using the electrochemical confined effect of a solid-state nanopore, we measured the multiple transit paths of peptide inside nanopores. </a>Combining with Markov chain modelling, this new single-molecule technique is applied to clarify the 5 transition paths of the <a>β-hairpin </a>peptide which shows 4 nonequilibrium fluctuating stages. These results enable experimental access to previously obscured peptide dynamics which are essential to understand the misfolding in peptides. The statistical analysis of each peptide from high throughput shows that 78.5% of the peptide adopts the Pathways I during their folding/unfolding in a nanopore while 21.5% of the peptide undergoes the hidden folding/unfolding of transit Pathways II-IV. The frequency of the ionic fluctuation reveals a harmonic structure difference of the <a>metastable</a> peptide. Our results suggest the folding/unfolding of β-hairpin undergo four major structure vibrations which agree well with the theoretical expectation. These measurements provide a first look at the critical experiment picture of the mechanical folding/unfolding of a peptide, opening exciting avenues for the high <a></a><a>throughput</a> investigation of transition paths.

Author(s):  
Yi-Lun Ying ◽  
Shao-Chuang Liu ◽  
Xin Shi ◽  
Wei-hua Li ◽  
Yong-jing Wan ◽  
...  

A fundamental question in peptide folding/unfolding is how the peptide fleets through a set of transition states which dominate the dynamics of biomolecular folding path. Owing to their rapid duration and sub-nm structure difference, however, they have always been oversimplified because of limited instrumental resolution.<sup>1-3</sup> Moreover, the most experiments indicate a single fold pathway while the simulations suggest peptides owns the preference in multiple pathways. <a></a><a></a><a>Using the electrochemical confined effect of a solid-state nanopore, we measured the multiple transit paths of peptide inside nanopores. </a>Combining with Markov chain modelling, this new single-molecule technique is applied to clarify the 5 transition paths of the <a>β-hairpin </a>peptide which shows 4 nonequilibrium fluctuating stages. These results enable experimental access to previously obscured peptide dynamics which are essential to understand the misfolding in peptides. The statistical analysis of each peptide from high throughput shows that 78.5% of the peptide adopts the Pathways I during their folding/unfolding in a nanopore while 21.5% of the peptide undergoes the hidden folding/unfolding of transit Pathways II-IV. The frequency of the ionic fluctuation reveals a harmonic structure difference of the <a>metastable</a> peptide. Our results suggest the folding/unfolding of β-hairpin undergo four major structure vibrations which agree well with the theoretical expectation. These measurements provide a first look at the critical experiment picture of the mechanical folding/unfolding of a peptide, opening exciting avenues for the high <a></a><a>throughput</a> investigation of transition paths.


2018 ◽  
Vol 114 (3) ◽  
pp. 168a-169a
Author(s):  
Noel Q. Hoffer ◽  
Krishna Neupane ◽  
Michael T. Woodside

2018 ◽  
Vol 148 (12) ◽  
pp. 123309 ◽  
Author(s):  
Pilar Cossio ◽  
Gerhard Hummer ◽  
Attila Szabo

2020 ◽  
Vol 117 (44) ◽  
pp. 27116-27123 ◽  
Author(s):  
Rohit Satija ◽  
Alexander M. Berezhkovskii ◽  
Dmitrii E. Makarov

Recent single-molecule experiments have observed transition paths, i.e., brief events where molecules (particularly biomolecules) are caught in the act of surmounting activation barriers. Such measurements offer unprecedented mechanistic insights into the dynamics of biomolecular folding and binding, molecular machines, and biological membrane channels. A key challenge to these studies is to infer the complex details of the multidimensional energy landscape traversed by the transition paths from inherently low-dimensional experimental signals. A common minimalist model attempting to do so is that of one-dimensional diffusion along a reaction coordinate, yet its validity has been called into question. Here, we show that the distribution of the transition path time, which is a common experimental observable, can be used to differentiate between the dynamics described by models of one-dimensional diffusion from the dynamics in which multidimensionality is essential. Specifically, we prove that the coefficient of variation obtained from this distribution cannot possibly exceed 1 for any one-dimensional diffusive model, no matter how rugged its underlying free energy landscape is: In other words, this distribution cannot be broader than the single-exponential one. Thus, a coefficient of variation exceeding 1 is a fingerprint of multidimensional dynamics. Analysis of transition paths in atomistic simulations of proteins shows that this coefficient often exceeds 1, signifying essential multidimensionality of those systems.


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