Literature DB >> 11472239

Serotonin receptor and transporter ligands - current status.

S J Oh1, H J Ha, D Y Chi, H K Lee.   

Abstract

The serotonin (5-HT) receptor system has 14 different subtypes classified by pharmacology and function. Many ligands are widely used for therapeutic and diagnostic purposes in some severe human diseases. Most of the ligands that are specific for each 5-HT receptor have distinctive chemical structures with regard to pharmacophore elements including 4-arylpiperazine, benzimidazole, benzamide, chroman, aminopyridazine, tetralin, and polycycles. However, their affinity and selectivity for 5-HT, dopamine and alpha1 receptors depend on their substituents and linker spacers. 5-HT transporter inhibitors have also been developed as potential antidepressants. In contrast to classical tricyclic compounds, newly developed secondary amine derivatives such as paroxetine and tetralin show high binding affinity and selectivity. Radioisotope-labeled ligands have also been developed, including [carbonyl-(11)C]WAY 100635 for 5-HT1A receptor, [(11C) or (18)F]ketanserine derivatives for 5-HT(2) receptor, [(125)I]DAIZAC for 5-HT(3) receptor, and [123I]IDAM for 5-HT transporter, and these are accumulated in brain regions that are rich in the respective receptors. This review summarizes the recent development of 5-HT receptor- and transporter-specific ligands and their pharmacological properties on the basis of their chemical structures.

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Year:  2001        PMID: 11472239     DOI: 10.2174/0929867013372599

Source DB:  PubMed          Journal:  Curr Med Chem        ISSN: 0929-8673            Impact factor:   4.530


  9 in total

1.  Classification of 5-HT(1A) receptor agonists and antagonists using GA-SVM method.

Authors:  Xue-lian Zhu; Hai-yan Cai; Zhi-jian Xu; Yong Wang; He-yao Wang; Ao Zhang; Wei-liang Zhu
Journal:  Acta Pharmacol Sin       Date:  2011-10-03       Impact factor: 6.150

2.  The concept of template-based de novo design from drug-derived molecular fragments and its application to TAR RNA.

Authors:  Andreas Schüller; Marcel Suhartono; Uli Fechner; Yusuf Tanrikulu; Sven Breitung; Ute Scheffer; Michael W Göbel; Gisbert Schneider
Journal:  J Comput Aided Mol Des       Date:  2007-12-07       Impact factor: 3.686

3.  Sarpogrelate, a 5-HT2A Receptor Antagonist, Protects the Retina From Light-Induced Retinopathy.

Authors:  Brandon E Tullis; Renee C Ryals; Aaron S Coyner; Michael J Gale; Alex Nicholson; Cristy Ku; Dain Regis; Wrik Sinha; Shreya Datta; Yuquan Wen; Paul Yang; Mark E Pennesi
Journal:  Invest Ophthalmol Vis Sci       Date:  2015-07       Impact factor: 4.799

4.  Bioisosteric matrices for ligands of serotonin receptors.

Authors:  Dawid Warszycki; Stefan Mordalski; Jakub Staroń; Andrzej J Bojarski
Journal:  ChemMedChem       Date:  2015-03-13       Impact factor: 3.466

5.  Colonic epithelial ion transport is not affected in patients with diverticulosis.

Authors:  Philip S Osbak; Niels Bindslev; Steen S Poulsen; Nicolai Kaltoft; Maria C Tilotta; Mark B Hansen
Journal:  BMC Gastroenterol       Date:  2007-09-23       Impact factor: 3.067

6.  A linear combination of pharmacophore hypotheses as a new tool in search of new active compounds--an application for 5-HT1A receptor ligands.

Authors:  Dawid Warszycki; Stefan Mordalski; Kurt Kristiansen; Rafał Kafel; Ingebrigt Sylte; Zdzisław Chilmonczyk; Andrzej J Bojarski
Journal:  PLoS One       Date:  2013-12-18       Impact factor: 3.240

7.  Asymmetric clustering index in a case study of 5-HT1A receptor ligands.

Authors:  Marek Śmieja; Dawid Warszycki; Jacek Tabor; Andrzej J Bojarski
Journal:  PLoS One       Date:  2014-07-14       Impact factor: 3.240

8.  Retinal Neuroprotective Effects of Flibanserin, an FDA-Approved Dual Serotonin Receptor Agonist-Antagonist.

Authors:  Aaron S Coyner; Renee C Ryals; Cristy A Ku; Cody M Fischer; Rachel C Patel; Shreya Datta; Paul Yang; Yuquan Wen; René Hen; Mark E Pennesi
Journal:  PLoS One       Date:  2016-07-22       Impact factor: 3.240

9.  How Sure Can We Be about ML Methods-Based Evaluation of Compound Activity: Incorporation of Information about Prediction Uncertainty Using Deep Learning Techniques.

Authors:  Igor Sieradzki; Damian Leśniak; Sabina Podlewska
Journal:  Molecules       Date:  2020-03-23       Impact factor: 4.411

  9 in total

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