Jialing Wang, Jie Chen, Kemin Lv, Zhen Gao, Jiahuang Li, Bin Wu, Bingfang He, Gerhard Schenk
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引用次数: 0
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.
期刊介绍:
The journal is particularly interested in studies on the design and synthesis of new genetic circuits and gene products; computational methods in the design of systems; and integrative applied approaches to understanding disease and metabolism.
Topics may include, but are not limited to:
Design and optimization of genetic systems
Genetic circuit design and their principles for their organization into programs
Computational methods to aid the design of genetic systems
Experimental methods to quantify genetic parts, circuits, and metabolic fluxes
Genetic parts libraries: their creation, analysis, and ontological representation
Protein engineering including computational design
Metabolic engineering and cellular manufacturing, including biomass conversion
Natural product access, engineering, and production
Creative and innovative applications of cellular programming
Medical applications, tissue engineering, and the programming of therapeutic cells
Minimal cell design and construction
Genomics and genome replacement strategies
Viral engineering
Automated and robotic assembly platforms for synthetic biology
DNA synthesis methodologies
Metagenomics and synthetic metagenomic analysis
Bioinformatics applied to gene discovery, chemoinformatics, and pathway construction
Gene optimization
Methods for genome-scale measurements of transcription and metabolomics
Systems biology and methods to integrate multiple data sources
in vitro and cell-free synthetic biology and molecular programming
Nucleic acid engineering.