In silico efforts to screen potential natural compounds against Schizophrenia by targeting TSPO

Schizophrenia (SZ) is a chronic and complex mental disorder. About 1% of the population of the world is affected by SZ as a serious neuropsychiatric disorder. Early adulthood persons facing brain hormonal changes, viral infection, defects in genetic encoding as well as stressful environmental factors are more susceptible to developing symptoms of SZ. Translocator protein (TSPO) is located in the outer mitochondrial membrane and plays an important role in several cellular processes including transport of cholesterol and synthesis of steroid hormones, mitochondrial respiration and ATP production, cell proliferation and apoptosis, and immunomodulation. TSPO expression is increased in chronic psychiatric patients and has been implicated as a modulator of inflammation and apoptosis. making it a potential target for drug development. In current efforts, a computational approach of 3D structure prediction, molecular docking, and Absorption, distribution, metabolism, excretion, and toxicity (ADMET) analysis was applied to screen potential compounds against SZ by targeting the TSPO translocator protein. Various Structures of the target protein were predicted, and a reliable structure was picked for further analysis of molecular docking. Molecular docking was performed against the natural compound library and the top-ranked compounds were picked for further analysis. Current experiments revealed that all the compounds were binding at similar binding pockets, and the top-ranked compounds were reported in the studies and were further evaluated based on ADMET analysis. After performing ADMET analysis and evaluating the compounds based on their interactional analysis and safety profiling it was observed that the compound 029-886-365 can be used against SZ by targeting TSPO.

Publication Details

Journal
Biomedical Letters
Published
2025-03-01
DOI
https://doi.org/10.47262/bl/11.1.20250107
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

In silico efforts to screen potential natural compounds against Schizophrenia by targeting TSPO

Biomedical Letters
Computational Drug Discovery Methods
article

In silico efforts to screen potential natural compounds against Schizophrenia by targeting TSPO

article en

Abstract

Schizophrenia (SZ) is a chronic and complex mental disorder. About 1% of the population of the world is affected by SZ as a serious neuropsychiatric disorder. Early adulthood persons facing brain hormonal changes, viral infection, defects in genetic encoding as well as stressful environmental factors are more susceptible to developing symptoms of SZ. Translocator protein (TSPO) is located in the outer mitochondrial membrane and plays an important role in several cellular processes including transport of cholesterol and synthesis of steroid hormones, mitochondrial respiration and ATP production, cell proliferation and apoptosis, and immunomodulation. TSPO expression is increased in chronic psychiatric patients and has been implicated as a modulator of inflammation and apoptosis. making it a potential target for drug development. In current efforts, a computational approach of 3D structure prediction, molecular docking, and Absorption, distribution, metabolism, excretion, and toxicity (ADMET) analysis was applied to screen potential compounds against SZ by targeting the TSPO translocator protein. Various Structures of the target protein were predicted, and a reliable structure was picked for further analysis of molecular docking. Molecular docking was performed against the natural compound library and the top-ranked compounds were picked for further analysis. Current experiments revealed that all the compounds were binding at similar binding pockets, and the top-ranked compounds were reported in the studies and were further evaluated based on ADMET analysis. After performing ADMET analysis and evaluating the compounds based on their interactional analysis and safety profiling it was observed that the compound 029-886-365 can be used against SZ by targeting TSPO.

Biomedical LettersVol. 11(1)
Openalex Percentile: Top 95%
Computational Drug Discovery Methods
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.

In silico efforts to screen potential natural compounds against Schizophrenia by targeting TSPO · Biomedical Letters (2025) | TGRS Research Map | TGRS