天津科技大学学报2024，Vol.39Issue(4)：26-31,6.DOI:10.13364/j.issn.1672-6510.20230210
基于生物信息学的角蛋白酶分析
Bioinformatics-Based Analysis of Keratinase
摘要
Abstract
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.关键词
微生物降解羽毛/角蛋白酶/序列预测/生物信息学Key words
microbial degradation of feathers/keratinase/sequence prediction/bioinformatics分类
生物科学引用本文复制引用
王柏涵,任亮,谢志成,李海勇,刘海娇,孙军..基于生物信息学的角蛋白酶分析[J].天津科技大学学报,2024,39(4):26-31,6.基金项目
国家自然科学基金项目(41876134) （41876134）
