What question did this study set out to answer?

This research aims to enhance the enzymatic synthesis of human milk oligosaccharides using computational techniques.

May 16, 2026Open Access

Computationally guided enzyme engineering for regioselective synthesis of fucosylated human milk oligosaccharides

Puntos clave

This research aims to enhance the enzymatic synthesis of human milk oligosaccharides using computational techniques.
Evaluated GH29B α-1,3/4-L-fucosidase Sp GH29 C from *Streptococcus pneumoniae* for transfucosylation.
Applied the BindScan computational pipeline to design enzyme variants with reduced hydrolytic activity.
Tested 21 enzyme variants to assess transglycosylation yields and regioselectivity.
Variants W264F and D257N achieved LNFP II yields of up to 73% and 68%, respectively.
Variant A173H improved LNFP III formation to 53%.
Reduced hydrolysis was observed over 24 hours, confirming the effectiveness of computational guidance.

Resumen

Abstract Human milk oligosaccharides (HMOs) are key bioactive components of human milk that support infant health and microbiome development. Prevalent HMOs include the internally fucosylated pentasaccharides lacto- N -fucopentaose II (LNFP II) and lacto- N -fucopentaose III (LNFP III), which are absent from infant formula. Their enzymatic synthesis from simpler HMOs such as 3-fucosyllactose (3FL), lacto- N -tetraose (LNT) and lacto- N -neotetraose (LNnT) represents an important step towards bridging this gap, especially now that these simpler HMOs are available on an industrial scale. We evaluated the use of the GH29B α-1,3/4-L-fucosidase Sp GH29 C from Streptococcus pneumoniae for transfucosylation at equimolar donor-to-acceptor ratio and applied the computational pipeline BindScan to design variants with reduced hydrolytic activity to avoid undesirable product hydrolysis. Guided by these predictions, we generated and tested 21 variants of Sp GH29 C , achieving significantly reduced hydrolysis and enhanced transglycosylation yields. Variants W264F and D257N reached LNFP II yields of up to 73% and 68%, respectively, while A173H improved LNFP III formation to 53%. Importantly, the product levels remained stable over 24 h as the variants displayed significantly decreased product hydrolysis as intended. Further binding analyses with BindScan enabled rational targeting of regioselectivity, identifying W211 as a key position influencing branched vs. linear product formation for LNFP II synthesis, while F202 and D257 variants improved regioselectivity in LNFP III synthesis. This study demonstrates that computationally guided protein engineering can optimize glycosidase-catalyzed transglycosylation and provides a framework for designing regioselective biocatalysts for complex oligosaccharides synthesis. Key points • BindScan designs fucosidase variants with improved transglycosylation performance • SpGH29 C variants efficiently synthesize LNFP II and LNFP III with low hydrolysis • SpGH29 C positions W211, F202 and D257 influence regioselectivity

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