Herein, we present an integrated computational and experimental study to tackle the interactions between proteins and ligands. As an example of a protein we have chosen fibrinogen, a blood serum protein related to coagulation processes. While as a ligand we have chosen a penicillin: cloxacillin. With respect to computational tools molecular docking simulation with elastic network based on collective low-frequency normal modes and perturbation response scanning maps were proposed to evaluate the conformational binding mechanism. With respect to the experimental part, the tools chosen were calorimetric (ITC and DSC) and spectroscopic (Raman and fluorescence). The combination of all these techniques will give us a broad and concise view of the bonding process between the two species.
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Bearing on drug-protein interaction network with structural features
Published:
13 December 2021
by MDPI
in MOL2NET'21, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 7th ed.
congress NICE.XSM-07: North-Ibero-America Congress on Exp. & Simul. Methods, Valencia, Spain-Miami, USA, 2021
Abstract:
Keywords: protein; drug; interactions; machine learning; UV-VIS