Multi-Target Dopamine D3 Receptor Modulators: Actionable Knowledge for Drug Design from Molecular Dynamics and Machine Learning

03 June 2019, Version 1
This content is a preprint and has not undergone peer review at the time of posting.

Abstract

Building on our previously reported studies on the combination of molecular dynamics and machine learning (Decherchi et al., Nature Comm 2015; Decherchi et al., JCIM 2018), we applied a combination of these techniques to identify the structural determinants causing efficacy cliffs at the D3 receptor in a small series of previously reported multi-target compounds.

Keywords

dopamine d3 receptor
FAAH
Molecular Dynamics
Cluster analysis
Multi-target directed ligands
Polypharmacology

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.