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The Journal of Chemical Physics
Article . 2006 . Peer-reviewed
Data sources: Crossref
https://dx.doi.org/10.48550/ar...
Article . 2005
License: arXiv Non-Exclusive Distribution
Data sources: Datacite
versions View all 4 versions

Simple model of sickle hemogloblin

Authors: Shiryayev, Andrey; Li, Xiaofei; Gunton, James D.;
Abstract

A microscopic model is proposed for the interactions between sickle hemoglobin molecules based on information from the protein data bank. A solution of this model, however, requires accurate estimates of the interaction parameters which are currently unavailable. Therefore, as a first step toward a molecular understanding of the nucleation mechanisms in sickle hemoglobin, a Monte Carlo simulation of a simplified two patch model is carried out. A gradual transition from monomers to one dimensional chains is observed as one varies the density of molecules at fixed temperature, somewhat similar to the transition from monomers to polymer fibers in sickle hemoglobin molecules in solution. An observed competition between chain formation and crystallization for the model is also discussed. The results of the simulation of the equation of state are shown to be in excellent agreement with a theory for a model of globular proteins, for the case of two interacting sites.

Keywords

Models, Molecular, Binding Sites, Statistical Mechanics (cond-mat.stat-mech), Chemistry, Physical, Polymers, Hemoglobin, Sickle, Biophysics, FOS: Physical sciences, Condensed Matter - Soft Condensed Matter, Models, Theoretical, Pressure, Anisotropy, Humans, Thermodynamics, Soft Condensed Matter (cond-mat.soft), Computer Simulation, Monte Carlo Method, Condensed Matter - Statistical Mechanics, Algorithms

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Average
Average
Top 10%
Green
bronze