Detalle de: Characterization of Ligand Binding to GPCRs Through Computational Methods
| Title | Characterization of Ligand Binding to GPCRs Through Computational Methods |
| Abstract |
The recent increase in available G protein-coupled receptor structures now contributes decisively to the structure-based ligand design. In this context, computational approaches in combination with medicinal chemistry and pharmacology are extremely helpful. Here, we provide an update on our structure-based computational protocols, used to answer key questions related to GPCR-ligand binding. All combined, these techniques can shed light on ligand binding modes, determine the molecular basis of conformational selection, for agonists and antagonists, as well as of subtype selectivity. To illustrate each of these questions, we will consider examples from existing projects on three families of class A (rhodopsin-like) GPCRs: one small-molecule (nucleotide-like) family, i.e., the adenosine receptors, and two peptide-binding receptors: neuropeptide-Y and angiotensin II receptors. The successful application of the same computational protocols to investigate this diverse group of receptor families gives an idea of the general applicability of our methodology in the characterization of GPCR-ligand binding. |
| Apa Reference | Vasile, S., Esguerra, M., Jespers, W., Oliveira, A., Sallander, J., Åqvist, J., & Gutiérrez-de-Terán, H. (2017). Characterization of Ligand Binding to GPCRs Through Computational Methods. Computational Methods for GPCR Drug Discovery, 23–44. 10.1007/978-1-4939-7465-8_2 |
| Doi | 10.1007/978-1-4939-7465-8_2 |
| Publication Date | 30 Nov 2017 |
| Publication Type | Book / chapter |
| Researcher | Hugo Gutiérrez de Terán Castañón |
| Ontology | Computational Methods |
| Research Groups | Computational Biochemistry of Membrane Receptors |
| Tools |
