Computational Investigation of Glycosylation Effects on a Family 1 Carbohydrate-Binding Module

Courtney B. Taylor, M. Faiz Talib, Clare McCabe, Lintao Bu, William S. Adney, Michael E. Himmel, Michael F. Crowley, Gregg T. Beckham

Research output: Contribution to journalArticlepeer-review

62 Scopus Citations

Abstract

Carbohydrate-binding modules (CBMs) are ubiquitous components of glycoside hydrolases, which degrade polysaccharides in nature. CBMs target specific polysaccharides, and CBM-binding affinity to cellulose is known to be proportional to cellulase activity, such that increasing binding affinity is an important component of performance improvement. To ascertain the impact of protein and glycan engineering on CBM binding, we use molecular simulation to quantify cellulose binding of a natively glycosylated Family 1 CBM. To validate our approach, we first examine aromatic-carbohydrate interactions on binding, and our predictions are consistent with previous experiments, showing that a tyrosine to tryptophan mutation yields a 2-fold improvement in binding affinity. We then demonstrate that enhanced binding of 3-6-fold over a nonglycosylated CBM is achieved by the addition of a single, native mannose or a mannose dimer, respectively, which has not been considered previously. Furthermore, we show that the addition of a single, artificial glycan on the anterior of the CBM, with the native, posterior glycans also present, can have a dramatic impact on binding affinity in our model, increasing it up to 140-fold relative to the nonglycosylated CBM. These results suggest new directions in protein engineering, in that modifying glycosylation patterns via heterologous expression, manipulation of culture conditions, or introduction of artificial glycosylation sites, can alter CBM binding affinity to carbohydrates and may thus be a general strategy to enhance cellulase performance. Our results also suggest that CBM binding studies should consider the effects of glycosylation on binding and function.

Original languageAmerican English
Pages (from-to)3147-3155
Number of pages9
JournalJournal of Biological Chemistry
Volume287
Issue number5
DOIs
StatePublished - 2012

NREL Publication Number

  • NREL/JA-5100-53752

Keywords

  • enzyme binding
  • glycosylation simulations
  • thermodynamic integration

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