Literature DB >> 21817269

A multi-timescale strength model of alpha-helical protein domains.

Theodor Ackbarow1, Sinan Keten, Markus J Buehler.   

Abstract

Here we report a constitutive model that characterizes the strength of an alpha-helical protein domain subjected to tensile deformation, covering more than ten orders of magnitude in timescales. The model elucidates multiple physical mechanisms of failure in dependence on the deformation rate, quantitatively linking atomistic simulation results with experimental strength measurements of alpha-helical protein domains. The model provides a description of the strength of alpha-helices based on fundamental physical parameters such as the H-bond energy and the polypeptide's persistence length, showing that strength is controlled by energetic, nonequilibrium processes at high rates and by thermodynamical, equilibrium processes at low rates. Our model provides a novel perspective on the strength of protein domains at ultra-slow pulling speeds relevant under physiologic and experimental conditions.

Entities:  

Year:  2008        PMID: 21817269     DOI: 10.1088/0953-8984/21/3/035111

Source DB:  PubMed          Journal:  J Phys Condens Matter        ISSN: 0953-8984            Impact factor:   2.333


  6 in total

1.  How protein materials balance strength, robustness, and adaptability.

Authors:  Markus J Buehler; Yu Ching Yung
Journal:  HFSP J       Date:  2010-01-14

2.  Mechanical Effects of Dynamic Binding between Tau Proteins on Microtubules during Axonal Injury.

Authors:  Hossein Ahmadzadeh; Douglas H Smith; Vivek B Shenoy
Journal:  Biophys J       Date:  2015-12-01       Impact factor: 4.033

3.  Fibers with integrated mechanochemical switches: minimalistic design principles derived from fibronectin.

Authors:  Orit Peleg; Thierry Savin; German V Kolmakov; Isaac G Salib; Anna C Balazs; Martin Kröger; Viola Vogel
Journal:  Biophys J       Date:  2012-11-07       Impact factor: 4.033

4.  Early events in helix unfolding under external forces: a milestoning analysis.

Authors:  Steven M Kreuzer; Ron Elber; Tess J Moon
Journal:  J Phys Chem B       Date:  2012-05-29       Impact factor: 2.991

5.  End-to-End Deep Learning Model to Predict and Design Secondary Structure Content of Structural Proteins.

Authors:  Chi-Hua Yu; Wei Chen; Yu-Hsuan Chiang; Kai Guo; Zaira Martin Moldes; David L Kaplan; Markus J Buehler
Journal:  ACS Biomater Sci Eng       Date:  2022-02-07

6.  Alpha-helical protein networks are self-protective and flaw-tolerant.

Authors:  Theodor Ackbarow; Dipanjan Sen; Christian Thaulow; Markus J Buehler
Journal:  PLoS One       Date:  2009-06-23       Impact factor: 3.240

  6 in total

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