基于生物信息学的角蛋白酶分析OA
Bioinformatics-Based Analysis of Keratinase
通过生物信息学分析预测拟蕈状芽孢杆菌、铜绿假单胞菌、枯草芽孢杆菌、地衣芽孢杆菌 4 种微生物角蛋白酶的结构性质.结果显示,所有酶都具有稳定性和亲水性,其二级结构特征相似,主要由无规则卷曲、β-折叠和α-螺旋构成.信号肽分析揭示了潜在的分泌蛋白特征,其中拟蕈状芽孢杆菌可能分泌信号肽.此外,拟蕈状芽孢杆菌的磷酸化位点最多.这为进一步研究角蛋白酶的降解机制及其推广应用提供了重要基础.
The structural properties of four microbial keratinases,namely Bacillus paramycoides,Pseudomonas aerugi-nosa,Bacillus licheniformis,and Bacillus subtilis,were predicted through bioinformatics analysis in our current study.The results showed that all enzymes had stability and hydrophilicity,and their secondary structural characteristics were similar,mainly composed of irregular curls β-folding and α-spiral composition.Signal peptide analysis revealed potential secretory protein features,among which Bacillus subtilis might secrete signal peptides.Moreover,Bacillus subtilis had the most phosphorylation sites.These results have thus provided an important foundation for further studying the degradation mechanism of keratinase and promoting its application.
王柏涵;任亮;谢志成;李海勇;刘海娇;孙军
天津科技大学海洋与环境学院,天津 300457天津科技大学海洋与环境学院,天津 300457天津市生态环境科学研究院,天津 300191天津科技大学化工与材料学院,天津 300457||天津纯态化学工程技术有限公司,天津 300457天津科技大学海洋与环境学院,天津 300457||天津市海洋资源与化学重点实验室,天津 300457天津科技大学海洋与环境学院,天津 300457||天津市海洋资源与化学重点实验室,天津 300457
生物工程
微生物降解羽毛角蛋白酶序列预测生物信息学
microbial degradation of featherskeratinasesequence predictionbioinformatics
《天津科技大学学报》 2024 (4)
26-31,6
国家自然科学基金项目(41876134)
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