![Author ORCID: We display the ORCID iD icon alongside authors names on our website to acknowledge that the ORCiD has been authenticated when entered by the user. To view the users ORCiD record click the icon. [opens in a new tab]](https://chemrxiv.org/engage/assets/public/chemrxiv/images/logos/orcid.png)
Abstract
The study aimed at highlighting
features of the still-unsolved A3R that
are important for IB-MECA and NECA binding and may be used for the design of
effective ligands using computational and mutagenesis studies.
Structural Characterization of Agonist Binding to A3 Adenosine Receptor through Biomolecular Simulations and Mutagenesis Experiments
22 July 2019, Version 1
Working Paper
This content is a preprint and has not undergone peer review at the time of posting.
Comments
Comments are not moderated before they are posted, but they can be removed
by the site moderators if they are found to be in contravention of our
Commenting Policy
[opens in a new tab]
- please read this policy before you post. Comments should be used for
scholarly discussion of the content in question. You can
find more information about how to use the commenting feature here
[opens in a new tab]
.
This site is protected by reCAPTCHA and the Google
Privacy Policy
[opens in a new tab]
and
Terms of Service
[opens in a new tab]
apply.
Now Published
Structural Characterization of Agonist Binding to an A3 Adenosine Receptor through Biomolecular Simulations and Mutagenesis Experiments [opens in a new tab]
Dimitrios Stamatis, Panagiotis Lagarias, Kerry Barkan, Eleni Vrontaki, Graham Ladds, Antonios Kolocouris journal article
Journal of Medicinal Chemistry , Volume 62, Issue 19
Online publication date: Sep 10, 2019
Version History
Jul 22, 2019 Version 1
Version Notes
This a pdf file from a word document
Metrics
3,316
642
0
Views
Downloads
Citations
Funding
This research represents part of the Master thesis of DS. and post-doctoral work EV We also thank Chiesi Hellas which supported this research (SARG No 10354) and the State Scholarships Foundation (IKY) for providing a Ph.D fellowship to P.L. (MIS 5000432, NSRF 2014-2020) and a post-doctoral fellowship to E.V. (MIS 5001552, NSRF 2014-2020). We gratefully acknowledge the support of the Leverhulme Trust (KB and GL) and the BBSRC (GL). This work was supported by computational time granted from the Greek Research & Technology Network (GRNET) in the National HPC facility - ARIS - under project IDs pr002021 and pr001004).
Author’s competing interest statement
No conflict