In Silico Investigation of Suillin Derived from Suillus luteus Mushroom (Agaricomycetes) Targeting...

This study integrates bioinformatics and computer-aided drug discovery to assess suillin's therapeutic potential, particularly its interaction with acetylcholinesterase (AChE). Alzheimer's disease presents profound challenges, necessitating effective treatments to mitigate cognitive decline and improve patients' quality of life. Although current medications offer symptomatic relief, they often entail adverse effects and do not address the underlying disease progression. Natural sources, such as macrofungi mushrooms, hold promise for novel drug discovery due to their bioactive compounds' diverse therapeutic properties. Suillin, derived from Suillus luteus mushrooms, shows promise as a mixed-type AChE inhibitor, crucial for maintaining acetylcholine levels in neurodegenerative disorders like Alzheimer's disease. Computational docking studies reveal suillin's distinctive interactions with AChE, suggesting potential modulation of enzyme function through various bonding mechanisms. The Molinspiration drug-likeness score further supports suillin's efficacy, indicating its suitability for enzyme inhibition. By combining computational and bioinformatics approaches, this study elucidates suillin's molecular interactions and underscores its potential as a therapeutic agent.