Efficient lignocellulosic biomass conversion under industrially relevant high temperatures is limited by the thermolability of commercial cellulases and a lack of synergistic, system-level thermostable cocktails. To address this gap, a thermostable cellulase cocktail comprising the endoglucanase TpEG, the cellobiohydrolase HmCel6A, and the β-glucosidase TnBglB was established, capable of synergistically hydrolyzing cellulose under high-temperature conditions. To further improve system performance, precise component optimization was performed using an advanced artificial intelligence framework. First, using the protein language model-guided enzyme mining pipeline VenusMine, EG5, an ultra-thermostable endoglucanase, was identified from a large sequence space and exhibited excellent thermostability at 90 °C. Concurrently, protein engineering of HmCel6A guided by the protein language model PRIME generated the variant S347P, yielding a 1.8-fold increase in catalytic activity. Both the wild-type (WT) and engineered cocktails showed excellent high-temperature hydrolytic activity. At 90 °C, DNS assay showed that the filter paper hydrolytic activity of the WT cocktail was approximately sevenfold higher than that of Cellic® CTec3 (Novonesis), while the engineered cocktail exhibited approximately 1.15-fold higher activity than the WT cocktail. HPLC analysis showed that the engineered cocktail released significantly more glucose from corn stover than both CTec3 and the WT cocktail. Furthermore, supplementation of CTec3 with these engineered enzymes led to increased reducing sugar release under the tested supplementation conditions. This study demonstrates the power of integrating artificial intelligence-driven enzyme discovery with protein engineering, expanding the design space for thermostable enzymes while delivering a high-performing cellulase cocktail for industrial-scale, high-temperature biomass saccharification.
Deoxynivalenol (DON), a trichothecene mycotoxin commonly found in cereal grains and their derived products, poses significant risks to human and animal health. In previous work, a fusion enzyme composed of the dehydrogenase DADH and the aldo-keto reductase AKR13B3 was engineered to convert DON into the non-toxic 3-epi-...
Yi-Ting Pan, Hao Zhu, Qing-Wei Jiang et al.· International Journal of Mol...· 0 citations
High-temperature processing of carbohydrate-rich biomass, including starch liquefaction and lignocellulose saccharification, can improve sugar yields, reduce contamination risks, and facilitate integration with thermochemical pretreatments. However, the operational stability of native carbohydrate-active enzymes (CAZym...
Yue-Li Hu, Xi Yang, Tian-Qi Wang et al.· International Journal of Mol...· 0 citations
A genetics-focused perspective on this biotechnological platform, integrating advances in genetic engineering, transcriptional regulation, and protein production positions M. thermophila as a versatile biotechnological platform for producing industrial enzymes and other value-added bioproducts for biorefinery applicati...
J. Ortega, M. Vélez-Mercado, Gabriela Martínez-Machado et al.· Processes· 0 citations
Cellulase enzyme secretion by cells of 2G
S. cerevisiae
yeast is considered a promising strategy to reduce the prohibitive cost of commercial cellulase cocktails in lignocellulosic bioethanol production. Here, we have developed Cellusec
®
strains by engineering enzyme secretion capacity into an industrial l...
Bart Thevelein, M. Demeke, Tom Desmet et al.· Biotechnology for Biofuels a...· 0 citations
The identified novel temperature-responsive promoter, PycgM, is a robust, high-temperature genetic element for efficient enzyme and metabolite production in thermotolerant hosts, demonstrating excellent compatibility with a thermotolerant host.
Yin-Biao Xu, Peng-Yang Liu, Feng-Xu Xiao et al.· Journal of Agricultural and...· 0 citations
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