Beta-N-Mehylamino-L-alanine neurotoxicity and amino acid inhibition in alzheimer’s disease
Abstract
Aim and Objective: The present study aimed to investigate the binding interactions between BMAA and selected amino acids using computational docking analysis. The objective was to evaluate whether specific amino acids could bind to BMAA and potentially prevent its misincorporation into protein chains, thereby reducing its neurotoxic effects.Background: Beta-N-methylamino-L-alanine (BMAA) is a neurotoxin produced by cyanobacteria and has been implicated as a potential environmental factor in the development of neurodegenerative diseases, including Alzheimer’s disease (AD). BMAA can accumulate in ecosystems and enter the human food chain through contaminated water and food sources. Due to its structural similarity to proteinogenic amino acids, BMAA may be misincorporated into newly synthesized proteins, leading to protein misfolding, cellular dysfunction, and neurotoxicity.Materials and Methods: Molecular docking analysis was performed using the HDOCK server, a computational tool designed to predict protein–ligand and molecular interactions. BMAA was docked with various amino acids to assess binding affinity and interaction patterns. Docking scores and predicted binding conformations were analyzed to evaluate the stability and feasibility of these interactions.Results: The docking analysis revealed potential binding interactions between BMAA and selected amino acids, indicating favorable binding affinities in certain cases. These interactions suggest that specific amino acids may sequester BMAA, thereby reducing its availability for misincorporation into nascent polypeptide chains and potentially mitigating protein misfolding and neurotoxicity.Conclusion: This study provides preliminary computational evidence that targeted amino acid interactions with BMAA may represent a protective strategy against BMAA-induced neurotoxicity. Understanding these molecular interactions may contribute to the development of novel preventive or therapeutic approaches for neurodegenerative diseases associated with environmental toxins. Further experimental validation is necessary to confirm these findings and determine their biological significance.
Fields of Study & Subjects
Alzheimer's disease research and treatments
Computational Drug Discovery Methods
Amino Acid Enzymes and Metabolism
Publication details
- Journal / source
- IP International Journal of Comprehensive and Advanced Pharmacology
- Volume
- 10
- Issue
- 4
- Pages
- 198–203
- Publication date
- 17 February 2026
- Language
- EN