TY - JOUR
T1 - Predicting protein partition coefficients in aqueous two phase system
AU - Barros, Dragana
AU - Campos, Sara R R
AU - Azevedo, Ana M.
AU - Baptista, António M.
AU - Aires-Barros, Maria Raquel
PY - 2016/10/28
Y1 - 2016/10/28
N2 - The present work aims to achieve an additional insight into the protein partitioning behavior in aqueous two phase systems (ATPSs), together with a study on the viability of a semi-empirical model based on continuum electrostatics to predict the protein partition characteristics. The partitioning behaviors of 14 globular proteins, with different properties, were explored in three polymer/polymer ATPSs. By the Collander equation, a linear correlation between protein partitioning coefficients in all systems was observed. Using the semi-empirical model it was possible to predict the partitioning behavior of proteins. The electrostatic energy depends on the protein size and ATPSs characteristics and varies in agreement with the difference in phase dielectric constants. Linear correlation of nonpolar energy, and the solvent accessible surface area was observed. Polymer structure and concentration have a significant influence on model viability. A good qualitative prediction of preferred phase for studied proteins was observed.
AB - The present work aims to achieve an additional insight into the protein partitioning behavior in aqueous two phase systems (ATPSs), together with a study on the viability of a semi-empirical model based on continuum electrostatics to predict the protein partition characteristics. The partitioning behaviors of 14 globular proteins, with different properties, were explored in three polymer/polymer ATPSs. By the Collander equation, a linear correlation between protein partitioning coefficients in all systems was observed. Using the semi-empirical model it was possible to predict the partitioning behavior of proteins. The electrostatic energy depends on the protein size and ATPSs characteristics and varies in agreement with the difference in phase dielectric constants. Linear correlation of nonpolar energy, and the solvent accessible surface area was observed. Polymer structure and concentration have a significant influence on model viability. A good qualitative prediction of preferred phase for studied proteins was observed.
KW - Aqueous two-phase system
KW - Collander equation
KW - Partition coefficient prediction
KW - Protein partitioning
KW - Semi-empirical model
UR - http://www.scopus.com/inward/record.url?scp=84995380022&partnerID=8YFLogxK
U2 - 10.1016/j.chroma.2016.09.072
DO - 10.1016/j.chroma.2016.09.072
M3 - Article
AN - SCOPUS:84995380022
SN - 0021-9673
VL - 1470
SP - 50
EP - 58
JO - Journal Of Chromatography A
JF - Journal Of Chromatography A
ER -