Structure-Guided Engineering Unveils Deeper Substrate Channel in Processive Endoglucanase EG5C-1 Contributing to Enhanced Catalytic Efficiency and Processivity

Processive endoglucanases have generated significant interest due to their bifunctionality in the degradation of cellulose and low product inhibition. However, enhancing their catalytic efficiency through engineering remains a formidable challenge. To address this bottleneck, our engineering efforts targeted loop regions located in the substrate channel of processive endoglucanase EG5C-1. Guided by a comparative analysis of characteristic structural features of the substrate channels in cellobiohydrolase, endoglucanase, and processive endoglucanase, a highly active triple mutant CM6 (N105H/T205S/D233L) was generated that had a 5.1- and 4.7-fold increase in catalytic efficiency toward soluble substrate carboxymethyl cellulose-Na and insoluble substrate phosphoric acid-swollen cellulose (PASC), compared with wild-type EG5C-1. Furthermore, this mutant exhibited greater processivity compared to EG5C-1. Molecular dynamics simulations unveiled that the mutations in the loop regions reshaped the substrate channel, leading to a deeper cleft, resembling the closed channel configuration of cellobiohydrolases. The increased compactness of the substrate channel induced changes in the substrate binding mode and substrate deformation, thereby enhancing both binding affinity and catalytic efficiency. Moreover, metadynamics simulations demonstrated that the processive velocity of cellulose chain through the binding channel in mutant CM6 surpassed that observed in EG5C-1.

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Publication Details

Journal
ACS Synthetic Biology
Published
2024-11-23
DOI
https://doi.org/10.1021/acssynbio.4c00562
Citations
8
Primary Topic
Biofuel production and bioconversion
Type
article
Field-Weighted Citation Impact
1.48

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article

Structure-Guided Engineering Unveils Deeper Substrate Channel in Processive Endoglucanase EG5C-1 Contributing to Enhanced Catalytic Efficiency and Processivity

Kemin Lv, Gerhard Schenk, Bin Wu, Zhen Gao et al.
8 citations
ACS Synthetic Biology
Biofuel production and bioconversion
1.48
article

Structure-Guided Engineering Unveils Deeper Substrate Channel in Processive Endoglucanase EG5C-1 Contributing to Enhanced Catalytic Efficiency and Processivity

Kemin Lv, Gerhard Schenk, Bin Wu, Zhen Gao, Jiahuang Li, Bingfang He, Jie Chen, Jialing Wang
article en
8 citations

Abstract

Processive endoglucanases have generated significant interest due to their bifunctionality in the degradation of cellulose and low product inhibition. However, enhancing their catalytic efficiency through engineering remains a formidable challenge. To address this bottleneck, our engineering efforts targeted loop regions located in the substrate channel of processive endoglucanase EG5C-1. Guided by a comparative analysis of characteristic structural features of the substrate channels in cellobiohydrolase, endoglucanase, and processive endoglucanase, a highly active triple mutant CM6 (N105H/T205S/D233L) was generated that had a 5.1- and 4.7-fold increase in catalytic efficiency toward soluble substrate carboxymethyl cellulose-Na and insoluble substrate phosphoric acid-swollen cellulose (PASC), compared with wild-type EG5C-1. Furthermore, this mutant exhibited greater processivity compared to EG5C-1. Molecular dynamics simulations unveiled that the mutations in the loop regions reshaped the substrate channel, leading to a deeper cleft, resembling the closed channel configuration of cellobiohydrolases. The increased compactness of the substrate channel induced changes in the substrate binding mode and substrate deformation, thereby enhancing both binding affinity and catalytic efficiency. Moreover, metadynamics simulations demonstrated that the processive velocity of cellulose chain through the binding channel in mutant CM6 surpassed that observed in EG5C-1.

ACS Synthetic BiologyVol. 13(12)
Nanjing Tech University (CN), China Pharmaceutical University (CN), The University of Queensland (AU)
National Natural Science Foundation of China, National Key Research and Development Program of China
Openalex Percentile: Top 19%
Biofuel production and bioconversion
1.48
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