An integrated in silico 3D model-driven discovery of a novel, potent, and selective amidosulfonamide 5-HT1A agonist (PRX-00023) for the treatment of anxiety and depression.

Publication

Citation
Becker OM, Dhanoa DS, Marantz Y, Chen D, Shacham S, Cheruku S, Heifetz A, Mohanty P, Fichman M, Sharadendu A, Nudelman R, Kauffman M, Noiman S.: An integrated in silico 3D model-driven discovery of a novel, potent, and selective amidosulfonamide 5-HT1A agonist (PRX-00023) for the treatment of anxiety and depression. J Med Chem, Volume 49 (11), 2006
Authors
Becker OM, Chen D, Cheruku S, Dhanoa DS, Fichman M, Heifetz A, Kauffman M, Marantz Y, Mohanty P, Noiman S., Nudelman R, Shacham S, Sharadendu A
Journal
J Med Chem
Year
2006
PubMed
16722631
Machine-readable
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Palacky University Olomouc

Palacky University Olomouc

Faculty of Science

Department of Physical Chemistry

tř. 17. listopadu 1192/12

771 46 Olomouc

Czech Republic

How to cite?

Juračka J., Šrejber M., Melíková M., Bazgier V., Berka K.: MolMeDB: Molecules on Membranes Database. Database, Volume 2019, 2019, baz078, https://doi.org/10.1093/database/baz078

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