Your browser doesn't support javascript.
loading
Demystifying P2Y1 Receptor Ligand Recognition through Docking and Molecular Dynamics Analyses.
Ciancetta, Antonella; O'Connor, Robert D; Paoletta, Silvia; Jacobson, Kenneth A.
Affiliation
  • Ciancetta A; Molecular Recognition Section, Laboratory of Bioorganic Chemistry, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health , Bethesda, Maryland 20892, United States.
  • O'Connor RD; Molecular Recognition Section, Laboratory of Bioorganic Chemistry, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health , Bethesda, Maryland 20892, United States.
  • Paoletta S; Molecular Recognition Section, Laboratory of Bioorganic Chemistry, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health , Bethesda, Maryland 20892, United States.
  • Jacobson KA; Molecular Recognition Section, Laboratory of Bioorganic Chemistry, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health , Bethesda, Maryland 20892, United States.
J Chem Inf Model ; 57(12): 3104-3123, 2017 12 26.
Article de En | MEDLINE | ID: mdl-29182323
ABSTRACT
We performed a molecular modeling analysis of 100 nucleotide-like bisphosphates and 46 non-nucleotide arylurea derivatives previously reported as P2Y1R binders using the recently solved hP2Y1R structures. We initially docked the compounds at the X-ray structures and identified the binding modes of representative compounds highlighting key patterns in the structure-activity relationship (SAR). We subsequently subjected receptor complexes with selected key agonists (2MeSADP and MRS2268) and antagonists (MRS2500 and BPTU) to membrane molecular dynamics (MD) simulations (at least 200 ns run in triplicate, simulation time 0.6-1.6 µs per ligand system) while considering alternative protonation states of nucleotides. Comparing the temporal evolution of the ligand-protein interaction patterns with available site-directed mutagenesis (SDM) data and P2Y1R apo state simulation provided further SAR insights and suggested reasonable explanations for loss/gain of binding affinity as well as the most relevant charged species for nucleotide ligands. The MD analysis also predicted local conformational changes required for the receptor inactive state to accommodate nucleotide agonists.
Sujet(s)

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Récepteurs purinergiques P2Y1 / Agonistes des récepteurs purinergiques P2Y / Antagonistes des récepteurs purinergiques P2Y Type d'étude: Prognostic_studies Limites: Humans Langue: En Journal: J Chem Inf Model Sujet du journal: INFORMATICA MEDICA / QUIMICA Année: 2017 Type de document: Article Pays d'affiliation: États-Unis d'Amérique

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Récepteurs purinergiques P2Y1 / Agonistes des récepteurs purinergiques P2Y / Antagonistes des récepteurs purinergiques P2Y Type d'étude: Prognostic_studies Limites: Humans Langue: En Journal: J Chem Inf Model Sujet du journal: INFORMATICA MEDICA / QUIMICA Année: 2017 Type de document: Article Pays d'affiliation: États-Unis d'Amérique
...