scholarly journals Thermocapillary Convection in Models of Crystal Growth

1999 ◽  
Keyword(s):  
Crystal Growth ◽  
Thermocapillary Convection ◽  
Models Of Crystal Growth

Computer Models of Crystal Growth

Science ◽  
1980 ◽  
Vol 208 (4442) ◽  
pp. 355-363 ◽  
Author(s):  
G. H. Gilmer
Keyword(s):  
Crystal Growth ◽  
Computer Models ◽  
Models Of Crystal Growth

Analytic treatment of stochastic models of crystal growth

1977 ◽  
Vol 83 (1) ◽  
pp. 129-138 ◽  
Author(s):  
H. Pfeiffer ◽  
W. Haubenreisser ◽  
Th. Klupsch
Keyword(s):  
Crystal Growth ◽  
Stochastic Models ◽  
Analytic Treatment ◽  
Models Of Crystal Growth

COMPUTER MODEL OF BIOPOLYMER CRYSTAL GROWTH AND AGGREGATION BY ADDITION OF MACROMOLECULAR UNITS — A COMPARATIVE STUDY

2006 ◽  
Vol 17 (07) ◽  
pp. 1037-1053 ◽  
Author(s):  
J. SIÓDMIAK ◽  
A. GADOMSKI
Keyword(s):  
Crystal Growth ◽  
Crystal Surface ◽  
Three Dimensional ◽  
Protein Molecule ◽  
Data Bank ◽  
Growth Unit ◽  
Lattice Monte Carlo ◽  
Tetragonal Crystals ◽  
And Migration ◽  
Models Of Crystal Growth

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.

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