EventsMOL2NET'21, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 7th ed.
Published
This submission belongs to the session 07. NICE.XSM-07: North-Ibero-America Congress on Exp. & Simul. Methods, Valencia, Spain-Miami, USA, 2021 of the event MOL2NET'21, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 7th ed.
Published date
13 Dec, 2021
Academic Editor
author-avatarHumberto Díaz
Citation
Ramon Rial, Michael Gonzalez-Durruthy, Juan M Ruso Beiras, Bearing on drug-protein interaction network with structural features, in Proceedings of MOL2NET'21, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 7th ed., 25 January–30 December 2021, MDPI: Basel, Switzerland, doi: 10.3390/mol2net-07-12069
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Bearing on drug-protein interaction network with structural features

1. Soft Matter and Molecular Biophysics Group, Department of Applied Physics, University of Santiago de Compostela, Santiago de Compostela E-15782, Spain
2. Department of Applied Physics, Faculty of Physics, University of Santiago de Compostela (USC), Spain.
Abstract

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.

Keywords
protein
drug
interactions
machine learning
UV-VIS
Manuscript
Poster
28bc504aef93f2ee7_02.pdf
Protein ligand complexation: a computational and experimental approach

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