ArticleMolecules (Basel, Switzerland)2018
Discovery of CNS-Like D3R-Selective Antagonists Using 3D Pharmacophore Guided Virtual Screening.
Article in Molecules (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
5 citing papers in PubMed.
- Computational approaches for the design of novel dopamine DIn silico pharmacology · 2022Article
- Identification of Phytoconstituents as Potent Inhibitors of Casein Kinase-1 Alpha Using Virtual Screening and Molecular Dynamics Simulations.Pharmaceutics · 2021Article
- Article
- 3D-QSAR Studies of 1,2,4-Oxadiazole Derivatives as Sortase A Inhibitors.BioMed research international · 2021Article
- Development of Predictive Models for Identifying Potential S100A9 Inhibitors Based on Machine Learning Methods.Frontiers in chemistry · 2019Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
The dopamine D3 receptor is an important CNS target for the treatment of a variety of neurological diseases. Selective dopamine D3 receptor antagonists modulate the improvement of psychostimulant addiction and relapse. In this study, five and six featured pharmacophore models of D3R antagonists were generated and evaluated with the post-hoc score combining two survival scores of active and inactive. Among the Top 10 models, APRRR215 and AHPRRR104 were chosen based on the coefficient of determination (APRRR215: R²
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Registered trials
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