In silico Screening of Monamine Oxidase B Inhibitors for the Treatment of Central Nervous System Disorders

Worldwide, millions of people suffer from neurological and psychiatric conditions, such as schizophrenia, depression, and neurodegenerative diseases. These conditions are often linked to hyperactivity of monoamine oxidase B (MAO-B) in the brain, and inhibiting this enzyme can reduce oxidative stress, stabilize neurotransmitter levels, and alleviate symptoms. In this context, a pharmacophoric model was created using PharmaGist with 31 hits extracted from BindingDB to enable a pharmacophoric-based search of potential MAO-B inhibitors in ZincPharmer’s chemical space, followed by the building of 10 conformers for each molecule in the software OMEGA, screening for structural and electrostatic similarity to safinamide using ROCS (Rapid overlay of chemical structures) and EON (Electrostatic similarity for lead-hopping), respectively. In addition, the molecular docking with Gold using the score function was performed to rank the ligands with the highest probabilities of affinity to MAO-B and then discriminate those with suitable physical-chemical, pharmacokinetic, and toxicological features using the tools QikProp, SwissADME, and DEREK. Four potential ligands with selective MAO-B inhibitor properties were identified, which show promise as future therapeutic agents for MAO-B-related disorders.

Authors

Publication Details

Journal
Journal of the Brazilian Chemical Society
Published
2024-09-30
DOI
https://doi.org/10.21577/0103-5053.20240192
Citations
1
Primary Topic
Nanomaterials for catalytic reactions
Type
article
Field-Weighted Citation Impact
0.25
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

In silico Screening of Monamine Oxidase B Inhibitors for the Treatment of Central Nervous System Disorders

Mariana Pegrucci Barcelos, Ana C. J. Silva, Lorane Izabel da Silva Hage-Melim, Henrique Barros de Lima et al.
1 citations
Journal of the Brazilian Chemical Society
Nanomaterials for catalytic reactions
0.25
article

In silico Screening of Monamine Oxidase B Inhibitors for the Treatment of Central Nervous System Disorders

Mariana Pegrucci Barcelos, Ana C. J. Silva, Lorane Izabel da Silva Hage-Melim, Henrique Barros de Lima, Carlos Henrique Tomich de Paula da Silva, Anderson Luiz Pena da Costa, Gabrieli Santos Oliveira
article en
1 citations

Abstract

Worldwide, millions of people suffer from neurological and psychiatric conditions, such as schizophrenia, depression, and neurodegenerative diseases. These conditions are often linked to hyperactivity of monoamine oxidase B (MAO-B) in the brain, and inhibiting this enzyme can reduce oxidative stress, stabilize neurotransmitter levels, and alleviate symptoms. In this context, a pharmacophoric model was created using PharmaGist with 31 hits extracted from BindingDB to enable a pharmacophoric-based search of potential MAO-B inhibitors in ZincPharmer’s chemical space, followed by the building of 10 conformers for each molecule in the software OMEGA, screening for structural and electrostatic similarity to safinamide using ROCS (Rapid overlay of chemical structures) and EON (Electrostatic similarity for lead-hopping), respectively. In addition, the molecular docking with Gold using the score function was performed to rank the ligands with the highest probabilities of affinity to MAO-B and then discriminate those with suitable physical-chemical, pharmacokinetic, and toxicological features using the tools QikProp, SwissADME, and DEREK. Four potential ligands with selective MAO-B inhibitor properties were identified, which show promise as future therapeutic agents for MAO-B-related disorders.

Journal of the Brazilian Chemical Society
Reduced inequalities
Openalex Percentile: Top 48%
Nanomaterials for catalytic reactions
0.25
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.