models of crystal growth
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2013 ◽  
pp. 499-530
Author(s):  
J. E. Taylor ◽  
J. W. Cahn ◽  
C. A. Handwerker

2013 ◽  
pp. 495-498
Author(s):  
Jean E. Taylor ◽  
Carol A. Handwerker ◽  
John W. Cahn

2006 ◽  
Vol 17 (07) ◽  
pp. 1037-1053 ◽  
Author(s):  
J. SIÓDMIAK ◽  
A. GADOMSKI

We discuss the results of a computer simulation of the biopolymer crystal growth and aggregation based on the 2D lattice Monte Carlo technique and the HP approximation of the biopolymers. As a modeled molecule (growth unit) we comparatively consider the previously studied non-mutant lysozyme protein, Protein Data Bank (PDB) ID: 193L, which forms, under a certain set of thermodynamic-kinetic conditions, the tetragonal crystals, and an amyloidogenic variant of the lysozyme, PDB ID: 1LYY, which is known as fibril-yielding and prone-to-aggregation agent. In our model, the site-dependent attachment, detachment and migration processes are involved. The probability of growth unit motion, attachment and detachment to/from the crystal surface are assumed to be proportional to the orientational factor representing the anisotropy of the molecule. Working within a two-dimensional representation of the truly three-dimensional process, we also argue that the crystal grows in a spiral way, whereby one or more screw dislocations on the crystal surface give rise to a terrace. We interpret the obtained results in terms of known models of crystal growth and aggregation such as B-C-F (Burton-Cabrera-Frank) dislocation driven growth and M-S (Mullins-Sekerka) instability concept, with stochastic aspects supplementing the latter. We discuss the conditions under which crystals vs non-crystalline protein aggregates appear, and how the process depends upon difference in chemical structure of the protein molecule seen as the main building block of the elementary crystal cell.


1992 ◽  
Vol 40 (7) ◽  
pp. 1443-1474 ◽  
Author(s):  
J.E. Taylor ◽  
J.W. Cahn ◽  
C.A. Handwerker

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