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

European Journal of Medicinal Chemistry - France
doi 10.1016/j.ejmech.2019.111975
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Elsevier BV

Related search

Studies of New Fused Benzazepine as Selective Dopamine D3 Receptor Antagonists Using 3d-Qsar, Molecular Docking and Molecular Dynamics

International Journal of Molecular Sciences
Organic ChemistryMolecular BiologyTheoretical ChemistryInorganic ChemistryComputer Science ApplicationsSpectroscopyMedicineCatalysisPhysical
2011English

Discovery of Novel Molecular Frameworks of Farnesoid X Receptor Modulators by Ensemble Machine Learning

ChemistryOpen
Chemistry
2018English

Recent Methods for Measuring Dopamine D3 Receptor Occupancy in Vivo: Importance for Drug Development

Frontiers in Pharmacology
Pharmacology
2014English

Discovery of Novel Molecular Frameworks of Farnesoid X Receptor Modulators by Ensemble Machine Learning

ChemistryOpen
Chemistry
2018English

Molecular Similarity for Machine Learning in Drug Development

Chemistry Central Journal
Chemistry
2008English

In Vitro and in Vivo Identification of Novel Positive Allosteric Modulators of the Human Dopamine D2 and D3 Receptor

Molecular Pharmacology
Molecular MedicinePharmacology
2015English

Dopamine D3 Receptor mRNA and Renal Response to D3 Receptor Activation in Spontaneously Hypertensive Rats

Hypertension Research
Internal MedicineCardiovascular MedicinePhysiologyCardiology
2003English

Design and Synthesis of Bitopic 2Phenylcyclopropylmethylamine (PCPMA) Derivatives as Selective Dopamine D3 Receptor Ligands

English

A Comparative Chemogenic Analysis for Predicting Drug-Target Pair via Machine Learning Approaches

Scientific Reports
Multidisciplinary
2020English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy