ArticleDoklady. Biochemistry and biophysics2017
Molecular design of proneurogenic and neuroprotective compounds-allosteric NMDA receptor modulators.
Article in Doklady. Biochemistry and biophysics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.
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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed, 1 synthesis or guideline pooled it.
- Towards Deep Neural Network Models for the Prediction of the Blood-Brain Barrier Permeability for Diverse Organic Compounds.Molecules (Basel, Switzerland) · 2020Pooled it
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
N-Methyl-D-aspartic acid (NMDA) receptor is a promising target for treatment of neurodegenerative diseases and other brain disorders as well as for designing proneurogenic compounds able to stimulate neurogenesis in adult brain. We analyzed the structure of the binding site of negative allosteric modulators in the amino-terminal domain of the NMDA receptor and identified possible modes of their binding as well as performed molecular design of new modulators that significantly differ from the known ones in structure and binding mode. In addition, we formed a focused library of chemical compounds with potential neuroprotective and proneurogenic properties, desirable set of pharmacokinetic properties, and low toxicity, which can be the basis for development of new-generation drugs.
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Registered trials
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