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

Institutions

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

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Synthesis, Experimental and Computational Evaluation of SERAAK1 as a 5-HT2A Receptor Ligand

Marián Castro, Ewa Kędzierska, Michał K. Jastrzębski, Tadeusz P. Karcz et al.
1 citations
Molecules
Computational Drug Discovery Methods
1.50
article

Synthesis, Experimental and Computational Evaluation of SERAAK1 as a 5-HT2A Receptor Ligand

Marián Castro, Ewa Kędzierska, Michał K. Jastrzębski, Tadeusz P. Karcz, Agnieszka Olejarz‐Maciej, Agnieszka A. Kaczor, Agata Zięba, Tuomo Laitinen, Agata Sumara, Tomasz M. Wróbel, Emilia Fornal
article en
1 citations

Abstract

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.

MoleculesVol. 30(10)
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)
China Scholarship Council, Uniwersytet Medyczny w Lublinie, Biocenter Finland
Good health and well-being
Openalex Percentile: Top 17%
Computational Drug Discovery Methods
1.50
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.