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Published on: October 3, 2018
Steroid hydroxylation by basidiomycete peroxygenases: a combined experimental and computational study
Esteban D Babot1, José C Del Río1, Marina Cañellas2
1Instituto de Recursos Naturales y Agrobiología de Sevilla, CSIC, Seville, Spain.
Fungal peroxygenases selectively hydroxylate steroids, primarily at the side chain, yielding 25-hydroxyderivatives. Computational studies explain enzyme selectivity based on active-site geometry and steroid structure.
Area of Science:
- Biocatalysis
- Enzymology
- Computational Chemistry
Background:
- Steroid oxyfunctionalization is crucial for synthesizing bioactive compounds.
- Current methods often require harsh conditions, limiting environmental friendliness.
- Fungal enzymes offer a promising alternative for selective and green chemical transformations.
Purpose of the Study:
- To investigate the selective oxyfunctionalization of diverse steroids using fungal peroxygenases.
- To explore mild and environmentally friendly enzymatic hydroxylation of steroidal compounds.
- To elucidate the factors governing enzyme selectivity and reaction yields through computational analysis.
Main Methods:
- Screening of peroxygenases from three basidiomycete species (Agrocybe aegerita, Marasmius rotula, Coprinopsis cinerea) for steroid hydroxylation.
- Enzymatic reactions using H2O2 as the sole cosubstrate on various steroidal substrates.
- Analysis of reaction products using gas chromatography and mass spectrometry.
- Computational modeling using Protein Energy Landscape Exploration (PELE) to study enzyme-substrate interactions.
Main Results:
- Fungal peroxygenases efficiently hydroxylated a range of steroids, with a preference for side-chain hydroxylation, predominantly yielding 25-hydroxyderivatives.
- Hydroxylation within the steroidal ring and terminal side-chain hydroxylation were observed under specific conditions.
- Computational simulations revealed that active-site geometry and hydrophobicity favor steroid side-chain entry, explaining observed reaction yields and selectivities.
Conclusions:
- Fungal peroxygenases are effective biocatalysts for selective steroid hydroxylation under mild conditions.
- The regioselectivity of hydroxylation is influenced by steroid structure and enzyme active-site characteristics.
- Computational modeling provides valuable insights into enzyme mechanisms and can predict catalytic outcomes for steroid biotransformations.
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