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March 7, 2026MoleculesOpen Access

Artificial Intelligence Assisted Optimization of Ramaria obtusissima Extracts and Their Integrated Chemical and Biological Characterization

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Authors

İKİskender KaraltıMSMustafa SevindikIAIlgaz Akata

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Overview

Study demonstrates enhanced antioxidant and antiproliferative properties of Ramaria obtusissima extracts, suggesting AI optimization is effective.

Key Points

  • The research aims to optimize the biological activities of Ramaria obtusissima extracts using AI methods and evaluate their chemical profiles.
  • Used response surface methodology (RSM) and artificial neural networks-genetic algorithm (ANN-GA) for optimization.
  • Evaluated antioxidant potential with FRAP, DPPH, TAS, TOS, and OSI parameters.
  • Assessed anticholinesterase activities through IC50 values.
  • Investigated antiproliferative effects in A549, MCF-7, and DU-145 cell lines.
  • Determined chemical profiles using LC-MS/MS and GC-MS techniques.
  • Extract optimized with ANN-GA showed significantly higher FRAP, TAS, and DPPH values than RSM extract.
  • ANN-GA extract exhibited stronger inhibitory effects on acetylcholinesterase and butyrylcholinesterase.
  • Significant dose-dependent suppression of cell proliferation was observed in A549, MCF-7, and DU-145 cell lines at 100 and 200 µg/mL.
  • Higher levels of gallic acid, caffeic acid, and quercetin were found in ANN-GA extract.
  • GC-MS analyses indicated a richer lipophilic profile in the ANN-GA extract.

Cite This Study

Karaltı et al. (2026) studied this question.

synapsesocial.com/papers/69abc2075af8044f7a4eb304https://doi.org/10.3390/molecules31050870
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