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Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA
Published on: February 23, 2024
Antitarget profiling of mycotoxins via molecular docking
Varvara Tkachenko1, Ilia Nikitin1, Igor Morgunov1,2
1Institute for Information Transmission Problems of the Russian Academy of Sciences (Kharkevich Institute), Bolshoy Karetny per. 19, Moscow, Russia, 127051.
This study used molecular docking to analyze mycotoxin interactions with human proteins, identifying key targets like acetylcholinesterase and serotonin transporter for public health monitoring.
Area of Science:
- Toxicology
- Computational Chemistry
- Pharmacology
Background:
- Mycotoxin toxicity poses significant risks to public health.
- Understanding molecular mechanisms is vital for risk assessment.
- Existing data on mycotoxin-protein interactions is limited.
Purpose of the Study:
- To systematically analyze the molecular interactions of diverse mycotoxins with human protein targets.
- To identify key protein targets vulnerable to mycotoxin binding.
- To discover promiscuous mycotoxins and their binding patterns.
Main Methods:
- Comprehensive molecular docking analysis was performed.
- 434 structurally diverse mycotoxins were docked against 44 human protein targets.
- Binding energies and affinity data were analyzed.
Main Results:
- 18.2% of mycotoxin-protein interactions showed strong binding (≤ -9 kcal/mol).
- Acetylcholinesterase, serotonin transporter, and adrenergic receptors (ADRB1, ADRB2) were identified as highly vulnerable targets.
- Ergotamine exhibited favorable binding to HTR1B, consistent with experimental findings.
- Aflatoxins and ochratoxins demonstrated broad multi-target activity.
Conclusions:
- This study provides systematic insights into the molecular basis of mycotoxin toxicity.
- Identified mycotoxin-protein interactions and vulnerable targets can guide future experimental validation.
- Findings support enhanced public health monitoring strategies for mycotoxin exposure.
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