Understanding the Effect of Secondary Structures and Aggregation on Human Protein Folding Class Evolution

2010 ◽  
Vol 71 (1) ◽  
pp. 60-69 ◽  
Author(s):  
Tina Begum ◽  
Tapash Chandra Ghosh
Biochemistry ◽  
1995 ◽  
Vol 34 (9) ◽  
pp. 2998-3008 ◽  
Author(s):  
J. Inaki Guijarro ◽  
Michael Jackson ◽  
Alain F. Chaffotte ◽  
Muriel Delepierre ◽  
Henry H. Mantsch ◽  
...  

1997 ◽  
Vol 54 (2) ◽  
pp. 105-112 ◽  
Author(s):  
Yin Gao ◽  
Hui Quan ◽  
Meiyan Jiang ◽  
Yong Dai ◽  
Chih-chen Wang

Biomolecules ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 357
Author(s):  
Leonor Cruzeiro ◽  
Andrew C. Gill ◽  
J. Chris Eilbeck

We investigate the hypothesis that protein folding is a kinetic, non-equilibrium process, in which the structure of the nascent chain is crucial. We compare actual amino acid frequencies in loops, α-helices and β-sheets with the frequencies that would arise in the absence of any amino acid bias for those secondary structures. The novel analysis suggests that while specific amino acids exist to drive the formation of loops and sheets, none stand out as drivers for α-helices. This favours the idea that the α-helix is the initial structure of most proteins before the folding process begins.


2013 ◽  
Vol 2013 ◽  
pp. 1-10
Author(s):  
Yeona Kang ◽  
Charles M. Fortmann

A diffusion theory-based, all-physicalab initioprotein folding simulation is described and applied. The model is based upon the drift and diffusion of protein substructures relative to one another in the multiple energy fields present. Without templates or statistical inputs, the simulations were run at physiologic and ambient temperatures (including pH). Around 100 protein secondary structures were surveyed, and twenty tertiary structures were determined. Greater than 70% of the secondary core structures with over 80% alpha helices were correctly identified on protein ranging from 30 to 200 amino-acid sequence. The drift-diffusion model predicted tertiary structures with RMSD values in the 3–5 Angstroms range for proteins ranging 30 to 150 amino acids. These predictions are among the best for an allab initioprotein simulation. Simulations could be run entirely on a desktop computer in minutes; however, more accurate tertiary structures were obtained using molecular dynamic energy relaxation. The drift-diffusion model generated realistic energy versus time traces. Rapid secondary structures followed by a slow compacting towards lower energy tertiary structures occurred after an initial incubation period in agreement with observations.


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