scholarly journals Incorporating Knowledge of Secondary Structures in a L-System-Based Encoding for Protein Folding

Author(s):  
Gabriela Ochoa ◽  
Gabi Escuela ◽  
Natalio Krasnogor
Biochemistry ◽  
1995 ◽  
Vol 34 (9) ◽  
pp. 2998-3008 ◽  
Author(s):  
J. Inaki Guijarro ◽  
Michael Jackson ◽  
Alain F. Chaffotte ◽  
Muriel Delepierre ◽  
Henry H. Mantsch ◽  
...  

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.


2020 ◽  
Vol 22 (3) ◽  
pp. 1359-1370 ◽  
Author(s):  
Debayan Chakraborty ◽  
Yassmine Chebaro ◽  
David J. Wales

The propensities to form different secondary structures are encoded in the multifunnel nature of the underlying free energy landscape, and conformational switching between such structures is a key element of protein folding and aggregation.


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