Unknown

Dataset Information

0

Insight into subtilisin E-S7 cleavage pattern based on crystal structure and hydrolysates peptide analysis.


ABSTRACT: The X-ray crystallographic structure of the mature form of subtilisin E-S7 (SES7) at 1.90?Å resolution is reported here. Structural comparisons between the previously reported propeptide-subtilisin E complex (1SCJ) and our mature form subtilisin E-S7 (6O44) provide insight into active site adjustments involved in catalysis and specificity. To further investigate the protease substrate selectivity mechanism, we used SES7 to hydrolyze skim milk and analyzed the hydrolysates by LC-MS for peptide identification. The cleavage pattern suggests a high preference for proline at substrate P2 position. The results based on the peptide analysis are consistent with our structural observations, which is instrumental in future protein engineering by rational design. Furthermore, the ACE-inhibitor and NLN-inhibitor activity of the hydrolysates were determined to assess the utility of SES7 for further industrial applications; IC50-ACE?=?67?±?0.92??g/mL and IC50-NLN?=?263?±?13??g/mL.

SUBMITTER: Tang H 

PROVIDER: S-EPMC6541920 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature

altmetric image

Publications

Insight into subtilisin E-S7 cleavage pattern based on crystal structure and hydrolysates peptide analysis.

Tang Heng H   Zhang Juan J   Shi Ke K   Aihara Hideki H   Du Guocheng G  

Biochemical and biophysical research communications 20190323 3


The X-ray crystallographic structure of the mature form of subtilisin E-S7 (SES7) at 1.90 Å resolution is reported here. Structural comparisons between the previously reported propeptide-subtilisin E complex (1SCJ) and our mature form subtilisin E-S7 (6O44) provide insight into active site adjustments involved in catalysis and specificity. To further investigate the protease substrate selectivity mechanism, we used SES7 to hydrolyze skim milk and analyzed the hydrolysates by LC-MS for peptide id  ...[more]

Similar Datasets

| S-EPMC5493697 | biostudies-literature
2024-09-23 | GSE246630 | GEO
2024-09-23 | GSE246629 | GEO
2024-09-23 | GSE249100 | GEO
| S-EPMC49091 | biostudies-other
| S-EPMC5468681 | biostudies-literature
| S-EPMC7921005 | biostudies-literature
| S-EPMC9977779 | biostudies-literature
| S-EPMC2576383 | biostudies-literature
| S-EPMC7099390 | biostudies-literature