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One approach using geometrical mapping proposed by Raychaudhury and Nandy [20] have been found to be useful for several calculations based on the 2D graphical representation [14], and extended recently to an abstract 20D modelling for protein sequences [21], where individual sequences are indexed by numerical descriptors.
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This behavior mimics that of many proteins in solution and as a result, many researchers have studied pNIPAM as a model for protein behavior.
BSA and ovalbumin (OVA) were used as a model for protein and glycoprotein to study the surface's anti-protein adhesion properties.
A model for protein purification has to describe a set of behaviours that can be present during the optimisation.
Data mining and machine learning algorithms thus have the potential to deliver predictive models for protein crystallization.
To easily generate reduced point charge models for protein structures, libraries of amino acid templates are built.
These parameters were interpreted using the three step equilibrium model for protein degradation (irreversible degradation following reversible unfolding).
Here we clarify the specification of the transition state by working with two types of toy models for protein association.
In this paper a computer tool that supports the calibration of chromatography models for protein purification is presented.
(Wu and Yen The BSA/MGO models for protein glycation experiments in vitro2005 Wu et al. 2011) were followed with some modifications.
The BSA/glc or BSA/gal models for protein glycation experiments in vitro (Ahmad et al. 2007 Ledesma-Osuna et al. 2008) were followed with some modifications.
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