Selected Papers from 7th RSC/SCI Symposium on GPCRs in Medicinal Chemistry
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Chemical and Molecular Sciences".
Deadline for manuscript submissions: closed (30 September 2019) | Viewed by 3859
Special Issue Editor
Interests: adenosine receptors; computer-aided drug design; free-energy calculations; G protein-coupled receptors; molecular dynamics
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Special Issue Information
Dear Colleagues,
The 7th RSC/SCI Symposium on GPCRs in Medicinal Chemistry will be held in Verona, Italy, 10–12 September, 2018, and it will provide a unified communication platform for both academic and industrial researchers within the field of drug discovery topics on G protein-coupled receptors (GPCRs). The key role of GPCRs in human disease underpins their importance to modern medicine, and indeed the symposium joins together a number of pharmaceutical companies, as well as leading academic groups in the area, which will combine cutting edge medicinal chemistry with innovative structural biology and novel drug design approaches.
This Special Issue on “Selected Papers from 7th RSC/SCI Symposium on GPCRs in Medicinal Chemistry” is expected to select excellent papers presented at “7th RSC/SCI Symposium on GPCRs in Medicinal Chemistry” regarding the development of GPCR drug discovery. The main goal of this Special Issue is to collect the cutting-edge scientific knowledge relevant to drug design on a wide range of GPCRs. We invite investigators interested in this area to contribute their original research articles to this Special Issue. Potential topics include, but are not limited to, the following:
- Structural biology of GPCRs
- Novel medicinal chemistry approaches in drug discovery of GPCR modulators
- Computational method and molecular simulations in hit identification and ligand design
- Pharmacological characterization of chemical modulators, including allosteric or biased ligands
Dr. Hugo Gutiérrez de Terán
Guest Editor
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Keywords
- GPCRs
- structure-based ligand design
- allosteric modulation
- biased signaling
- computer-aided ligand design
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