Literature DB >> 18352751

Elastic bond network model for protein unfolding mechanics.

Hendrik Dietz1, Matthias Rief.   

Abstract

Recent advances in single molecule mechanics have made it possible to investigate the mechanical anisotropy of protein stability in great detail. A quantitative prediction of protein unfolding forces at experimental time scales has so far been difficult. Here, we present an elastically bonded network model to describe the mechanical unfolding forces of green fluorescent protein in eight different pulling directions. The combination of an elastic network and irreversible bond fracture kinetics offers a new concept to understand the determinants of mechanical protein stability.

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Year:  2008        PMID: 18352751     DOI: 10.1103/PhysRevLett.100.098101

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  13 in total

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Review 4.  Deformation and failure of protein materials in physiologically extreme conditions and disease.

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Journal:  Nat Mater       Date:  2009-03       Impact factor: 43.841

5.  The effect of different force applications on the protein-protein complex Barnase-Barstar.

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Journal:  Biophys J       Date:  2009-09-16       Impact factor: 4.033

6.  COARSE-GRAINED MODELING OF PROTEIN UNFOLDING DYNAMICS.

Authors:  Mingge Deng; George Em Karniadakis
Journal:  Multiscale Model Simul       Date:  2014       Impact factor: 1.930

7.  Soft Vibrational Modes Predict Breaking Events during Force-Induced Protein Unfolding.

Authors:  Mona Habibi; Steven S Plotkin; Jörg Rottler
Journal:  Biophys J       Date:  2018-02-06       Impact factor: 4.033

8.  Protein unfolding under force: crack propagation in a network.

Authors:  Adam M R de Graff; Gareth Shannon; Daniel W Farrell; Philip M Williams; M F Thorpe
Journal:  Biophys J       Date:  2011-08-03       Impact factor: 4.033

9.  Cooperative dynamics of proteins unraveled by network models.

Authors:  Eran Eyal; Anindita Dutta; Ivet Bahar
Journal:  Wiley Interdiscip Rev Comput Mol Sci       Date:  2011-04-11

10.  Empirical analysis and modeling of users' topic interests in online forums.

Authors:  Fei Xiong; Yun Liu
Journal:  PLoS One       Date:  2012-12-12       Impact factor: 3.240

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