Matrix augmentation as an efficient method for resolving interaction of bromocriptine with human serum albumin: trouble shooting and simultaneous resolution

Heliyon
Ali R JalalvandMajid Mahmoudi

Abstract

This work reports the results of an interesting study related to the investigation of interactions of bromocriptine (BCP) with human serum albumin (HSA) by mathematicall modelling of voltammetric and spectroscopic data into an augmented data matrix and its resolution by multivariate curve resolution-alternating least squares (MCR-ALS). The quality of the results obtained by MCR-ALS was examined by MCR-BANDS and its outputs confirmed the absence of rotational ambiguities in the MCR-ALS results. BCP-HSA interactions were also modeled by molecular docking methods to verify the results obtained from experimental sections and fortunately, they were compatible. Hard modeling of the experimental data by EQUISPEC helped us to calculate the binding constant of the complex formed from BCP-HSA interactions which was in a good agreement with that of calculated from direct analysis of the experimental data. Finally, with the help of two different amperometric measurements based on BCP-HSA interactions a novel electroanalytical method was developed for biosensing of HSA in serum samples.

Citations

Jul 14, 2020·Analytical Sciences : the International Journal of the Japan Society for Analytical Chemistry·Morihisa SaekiHironori Ohba
Apr 3, 2021·International Journal of Biological Macromolecules·Ali R Jalalvand

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Methods Mentioned

BETA
electrophoresis
biosensing
Fluorescence
fluorescence spectroscopy
FRET

Software Mentioned

BANDS
ALS
ArgusDock
Arguslab
NOVA
LIPLOT
EQUISPEC
LIGPLOT
MCR

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