Synthesis, Experimental and Computational Evaluation of SERAAK1 as a 5-HT2A Receptor Ligand
Many drug discovery efforts have identified potentially promising molecules; however, a common limitation of these reports is the lack of further experimental confirmation of pharmacokinetic properties and behavioral effects of discovered compounds. In this study, we aim to address this limitation. Therefore, we build on our previous virtual screening campaign by synthesizing, analyzing in silico, and evaluating experimentally the SERAAK1 compound, which was initially identified as a ligand for 5-HT<sub>1A</sub>, 5-HT<sub>2A</sub>, and D<sub>2</sub> receptors. Through these investigations, we discovered that SERAAK1 binds to the orthosteric pocket of the 5-HT<sub>2A</sub> receptor in a similar mechanism to that known for marketed antipsychotic medications. Molecular dynamics simulations revealed that the SERAAK1 compound remains stable in the orthosteric binding pocket of the 5-HT<sub>2A</sub> receptor. The determination of the ADMET parameters indicated the directions for further optimization of the compounds. In vivo studies demonstrated the anxiolytic and antidepressant properties of the SERAAK1 compound.
Authors
- Marián Castro (ORCID: https://orcid.org/0000-0002-4732-1966)
- Ewa Kędzierska (ORCID: https://orcid.org/0000-0002-2648-6075)
- Michał K. Jastrzębski (ORCID: https://orcid.org/0000-0002-8658-2608)
- Tadeusz P. Karcz (ORCID: https://orcid.org/0000-0003-4035-659X)
- Agnieszka Olejarz‐Maciej (ORCID: https://orcid.org/0000-0002-1466-0742)
- Agnieszka A. Kaczor (ORCID: https://orcid.org/0000-0001-8679-9623)
- Agata Zięba (ORCID: https://orcid.org/0000-0002-8515-7482)
- Tuomo Laitinen (ORCID: https://orcid.org/0000-0003-1539-2142)
- Agata Sumara (ORCID: https://orcid.org/0000-0001-8677-7379)
- Tomasz M. Wróbel (ORCID: https://orcid.org/0000-0002-0313-2522)
- Emilia Fornal (ORCID: https://orcid.org/0000-0002-0503-0706)
Institutions
- Medical University of Lublin (PL)
- Jagiellonian University (PL)
- University of Eastern Finland (FI)
- Universidade de Santiago de Compostela (ES)
- Center for Research in Molecular Medicine and Chronic Diseases (ES)
- Instituto de Investigación Sanitaria de Santiago (ES)
Publication Details
- Journal
- Molecules
- Published
- 2025-05-14
- DOI
- https://doi.org/10.3390/molecules30102165
- Citations
- 1
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 1.50
Funders
- China Scholarship Council
- Uniwersytet Medyczny w Lublinie
- Biocenter Finland