scholarly journals Topological descriptions of protein folding

2019 ◽  
Vol 116 (19) ◽  
pp. 9360-9369 ◽  
Author(s):  
Erica Flapan ◽  
Adam He ◽  
Helen Wong

How knotted proteins fold has remained controversial since the identification of deeply knotted proteins nearly two decades ago. Both computational and experimental approaches have been used to investigate protein knot formation. Motivated by the computer simulations of Bölinger et al. [Bölinger D, et al. (2010) PLoS Comput Biol 6:e1000731] for the folding of the 61-knotted α-haloacid dehalogenase (DehI) protein, we introduce a topological description of knot folding that could describe pathways for the formation of all currently known protein knot types and predicts knot types that might be identified in the future. We analyze fingerprint data from crystal structures of protein knots as evidence that particular protein knots may fold according to specific pathways from our theory. Our results confirm Taylor’s twisted hairpin theory of knot folding for the 31-knotted proteins and the 41-knotted ketol-acid reductoisomerases and present alternative folding mechanisms for the 41-knotted phytochromes and the 52- and 61-knotted proteins.

Author(s):  
Nikolay V. Dokholyan ◽  
Jose M. Borreguero ◽  
Sergey V. Buldyrev ◽  
Feng Ding ◽  
H.Eugene Stanley ◽  
...  

2019 ◽  
Author(s):  
Ava J. Mauro ◽  
Erin M. Jonasson ◽  
Holly V. Goodson

ABSTRACTBehaviors of dynamic polymers such as microtubules and actin are frequently assessed at one or both of two scales: (i) net assembly or disassembly of bulk polymer, (ii) growth and shortening of individual filaments. Previous work has derived various forms of an equation to relate the rate of change in bulk polymer mass (i.e., flux of subunits into and out of polymer, often abbreviated as “J”) to individual filament behaviors. However, these versions of this “J equation” differ in the variables used to quantify individual filament behavior, which correspond to different experimental approaches. For example, some variants of the J equation use dynamic instability parameters, obtained by following particular individuals for long periods of time. Another form of the equation uses measurements from many individuals followed over short time steps. We use a combination of derivations and computer simulations that mimic experiments to (i) relate the various forms of the J equation to each other; (ii) determine conditions under which these J equation forms are and are not equivalent; and (iii) identify aspects of the measurements that can affect the accuracy of each form of the J equation. Improved understanding of the J equation and its connections to experimentally measurable quantities will contribute to efforts to build a multi-scale understanding of steady-state polymer behavior.


2013 ◽  
Vol 41 (2) ◽  
pp. 533-537 ◽  
Author(s):  
Kenneth C. Millett ◽  
Eric J. Rawdon ◽  
Andrzej Stasiak ◽  
Joanna I. Sułkowska

Polypeptide chains form open knots in many proteins. How these knotted proteins fold and finding the evolutionary advantage provided by these knots are among some of the key questions currently being studied in the protein folding field. The detection and identification of protein knots are substantial challenges. Different methods and many variations of them have been employed, but they can give different results for the same protein. In the present article, we review the various knot identification algorithms and compare their relative strengths when applied to the study of knots in proteins. We show that the statistical approach based on the uniform closure method is advantageous in comparison with other methods used to characterize protein knots.


Author(s):  
Vijay S. Pande ◽  
Eric J. Sorin ◽  
Christopher D. Snow ◽  
Young Min Rhee

2001 ◽  
Vol 19 (1) ◽  
pp. 94-101 ◽  
Author(s):  
Clare Woodward ◽  
Elisar Barbar ◽  
Natalia Carulla ◽  
John Battiste ◽  
George Barany

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