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Characterization of a novel thermostable GH7 endoglucanase from Chaetomium thermophilum capable of xylan hydrolysis.

Chengyao Hua | Weiguang Li | Wei Han | Qunqing Wang | Pengsheng Bi | Chao Han | Lusheng Zhu
International journal of biological macromolecules | 2018

A new endoglucanase encoding gene (ctendo7) was cloned from the thermophilic fungus Chaetomium thermophilum and heterologously expressed in Pichia pastoris. The recombinant CTendo7 enzyme was purified by Ni2+ affinity chromatography and subsequently characterized. CTendo7 belongs to glycoside hydrolase family 7, and exhibited considerable activity against sodium carboxymethyl cellulose (CMC-Na) and xylan of 1.91 IU/mg and 3.05 IU/mg at the optimum reaction condition of 55 °C, pH 5.0, respectively. The purified enzyme displayed relatively good thermostability. The residual endoglucanase and xylanase activities were 74.3% and 66.2% after a 60 min pre-incubation at 70 °C. Additionally, Ag+, Fe3+ and Cu2+ negatively affected the enzyme's activity, while the presence of 1 mM and 5 mM Mn2+ significantly enhanced both endoglucanase and xylanase activities. Generation of soluble oligosaccharides from lignocellulose is a critical step in bioethanol production, and it is noteworthy that CTendo7 produced cello-oligosaccharides and xylo-oligosaccharides from the continuous enzymatic saccharification of CMC-Na and xylan, respectively. This is the first detailed report on a novel bifunctional endoglucanase/xylanase enzyme from C. thermophilum. Furthermore, the excellent properties of CTendo7 distinguish it as a promising candidate for industrial lignocellulosic biomass conversion.

Pubmed ID: 29842954

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Server that predicts N-Glycosylation sites in human proteins using artificial neural networks that examine the sequence context of Asn-Xaa-Ser/Thr sequons. NetNGlyc 1.0 is also available as a stand-alone software package, with the same functionality as the service above. Ready-to-ship packages exist for the most common UNIX platforms.

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SignalP (tool)

RRID:SCR_015644

Web application for prediction of the presence and location of signal peptide cleavage sites in amino acid sequences from different organisms. The method incorporates a prediction of cleavage sites and a signal peptide/non-signal peptide prediction based on a combination of several artificial neural networks.

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