Targeting Beta-Blocker Drug-Drug Interactions with Fibrinogen Blood Plasma Protein: A Computational and Experimental Study

• Tipo: Artigo em Revista Científica Internacional
• Data: 2020

Autores

Gonzalez Durruthy, M (Autor) Outra; Riccardo Concu (Autor) FCUP; Vendrame, LFO (Autor) Outra; Zanella, I (Autor) Outra; Ruso, JM (Autor) Outra; Natalia N D S Cordeiro (Autor) FCUP

Revista

Título: Molecules

Vol. 25

Página Final: 5425

ISSN: 1420-3049

Editora: MDPI

Indexação

ISI Web of Knowledge - 3 Citações

Scopus - 4 Citações

Outras Informações

ID Authenticus: P-00T-52V

DOI: 10.3390/molecules25225425

Abstract (EN): In this work, one of the most prevalent polypharmacology drug-drug interaction events that occurs between two widely used beta-blocker drugs-i.e., acebutolol and propranolol-with the most abundant blood plasma fibrinogen protein was evaluated. Towards that end, molecular docking and Density Functional Theory (DFT) calculations were used as complementary tools. A fibrinogen crystallographic validation for the three best ranked binding-sites shows 100% of conformationally favored residues with total absence of restricted flexibility. From those three sites, results on both the binding-site druggability and ligand transport analysis-based free energy trajectories pointed out the most preferred biophysical environment site for drug-drug interactions. Furthermore, the total affinity for the stabilization of the drug-drug complexes was mostly influenced by steric energy contributions, based mainly on multiple hydrophobic contacts with critical residues (THR22: P and SER50: Q) in such best-ranked site. Additionally, the DFT calculations revealed that the beta-blocker drug-drug complexes have a spontaneous thermodynamic stabilization following the same affinity order obtained in the docking simulations, without covalent-bond formation between both interacting beta-blockers in the best-ranked site. Lastly, experimental ultrasound density and velocity measurements were performed and allowed us to validate and corroborate the computational obtained results.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 28