化学
木聚糖酶
突变体
天冬酰胺
立体化学
短小芽孢杆菌
回转半径
蛋白质工程
生物信息学
蛋白质结构
五肽重复序列
蛋白质折叠
缬氨酸
生物化学
氨基酸
酶
肽
有机化学
生物
细菌
聚合物
基因
遗传学
作者
Sagar Krishna Bhat,Kavya Purushothaman,K. Ramachandra Kini,Appu Rao Gopala Rao Appu Rao
标识
DOI:10.1080/07391102.2021.1899988
摘要
GH11 xylanases are versatile small-molecular-weight single-polypeptide chain monofunctional enzymes. This family of glycoside hydrolases has important applications in food, feed and chemical industries. We designed mutants for improved thermal stability with substitutions in the first six residues of the N-terminal region and evaluated the stability in silico. The first six residues RTITNN of native xylanase have been mutated accordingly to introduce β structure, increase hydrophobic clusters and enhance conformational rigidity in the molecule. To design stable mutants, the approach consisted of constructing root mean square fluctuation (RMSF) plots of both mesophilic and thermophilic xylanases to check the localized backbone displacement maxima, identify the hydrophobic interaction cluster in and around the peaks of interest, construct mutants by substituting appropriate residues based on beta propensity, hydrophobicity, side chain occupancy and conformational rigidity. This resulted in the decreased number of possible substitutions from 19 to 6 residues. Introduction of conformational rigidity by substitution of asparagine residues at 5th and 6th residue position with proline and valine enhanced the stability. Deletion of N-terminal region increased the stability probably by reducing entropic factors. The structure and stability of GH11 xylanase and resultant mutants were analyzed by root mean square deviation, RMSF, radius of gyration and solvent accessible surface area analysis. The stability of the mutants followed the order N-del > Y1P5 >Y1V5 > ATRLM. The contribution of N-terminal end to overall stability of the molecule is significant because of the proximity of the C-terminal end to the N-terminal end which reinforces long-range interactions. Communicated by Ramaswamy H. Sarma.
科研通智能强力驱动
Strongly Powered by AbleSci AI