Εξειδίκευση τύπου :	Άρθρο σε επιστημονικό περιοδικό
Τίτλος:	A simple open source bioinformatic methodology for initial exploration of GPCR ligands' agonistic/antagonistic properties
Δημιουργός/Συγγραφέας:	Panagiotopoulos, Athanasios A Papachristofi, Christina Kalyvianaki, Konstantina Malamos, Panagiotis Theodoropoulos, Panayiotis A Notas, George [EL] Καλογεροπούλου, Θεοδώρα[EN] Calogeropoulou, Theodora Castanas, Elias Kampa, Marilena
Ημερομηνία:	2020-08
Γλώσσα:	Αγγλικά
ISSN:	2052-1707 2052-1707
DOI:	10.1002/prp2.600
Άλλο:	32662237
Περίληψη:	Drug development is an arduous procedure, necessitating testing the interaction of a large number of potential candidates with potential interacting (macro)molecules. Therefore, any method which could provide an initial screening of potential candidate drugs might be of interest for the acceleration of the procedure, by highlighting interesting compounds, prior to in vitro and in vivo validation. In this line, we present a method which may identify potential hits, with agonistic and/or antagonistic properties on GPCR receptors, integrating the knowledge on signaling events triggered by receptor activation (GPCRs binding to Gα,β,γ proteins, and activating Gα , exchanging GDP for GTP, leading to a decreased affinity of the Gα for the GPCR). We show that, by integrating GPCR-ligand and Gα -GDP or -GTP binding in docking simulation, which correctly predicts crystallographic data, we can discriminate agonists, partial agonists, and antagonists, through a linear function, based on the ΔG (Gibbs-free energy) of liganded-GPCR/Gα -GDP. We built our model using two Gαs (β2-adrenergic and prostaglandin-D2 ), four Gαi (μ-opioid, dopamine-D3, adenosine-A1, rhodopsin), and one Gαo (serotonin) receptors and validated it with a series of ligands on a recently deorphanized Gαi receptor (OXER1). This approach could be a valuable tool for initial in silico validation and design of GPRC-interacting ligands.
Τίτλος πηγής δημοσίευσης:	Pharmacology research & perspectives
Τόμος/Κεφάλαιο:	8
Τεύχος:	4
Θεματική Κατηγορία:	[EL] Χημική Βιολογία[EN] Chemical Biology [EL] Δομική Βιολογία[EN] Structural Biology [EL] Βιοπληροφορική[EN] Bioinformatics
Λέξεις-Κλειδιά:	GPCR OXER1 Agonist Antagonist Biological activity prediction Docking In silico Computational Biology Crystallography Drug Development Guanosine Diphosphate Guanosine Triphosphate Humans Ligands Molecular Docking Simulation Receptors, G-Protein-Coupled Signal Transduction
Κάτοχος πνευματικών δικαιωμάτων:	Copyright © © 2020 The Authors. Pharmacology Research & Perspectives published by John Wiley & Sons Ltd, British Pharmacological Society and American Society for Pharmacology and Experimental Therapeutics.
Ηλεκτρονική διεύθυνση στον εκδότη (link):	https://bpspubs.onlinelibrary.wiley.com/doi/10.1002/prp2.600
Ηλεκτρονική διεύθυνση περιοδικού (link) :	https://bpspubs.onlinelibrary.wiley.com/journal/20521707
Εμφανίζεται στις συλλογές:	Ινστιτούτο Χημικής Βιολογίας - Επιστημονικό έργο