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Specific interactions between the alkaline protease of P. aeruginosa and its natural peptide inhibitor: ab initio molecular simulations.

Authors :
Saito, Ryosuke
Imai, Kyohei
Yamamoto, Shohei
Ezawa, Takuya
Sugiyama, Satoshi
Evenseth, Linn Samira Mari
Sylte, Ingebrigt
Kurita, Noriyuki
Source :
Journal of Molecular Modeling. Jan2022, Vol. 28 Issue 1, p1-10. 10p.
Publication Year :
2022

Abstract

Alkaline protease aeruginolysin (APR) is an important virulence factor in the evasion of the immune system by Pseudomonas aeruginosa (P. aeruginosa). The P. aeruginosa genome also encodes the highly potent and specific APR peptide inhibitor (APRin). However, the structural reason for the significant inhibition has not been revealed. Using ab initio molecular simulations, we here investigated the specific interactions between APR and APRin to elucidate which amino acid residues of APRin and APR contribute strongest to the inhibition. Since APR has a Zn2+ ion at the ligand-binding site and histidine and glutamic acid residues are coordinated with Zn2+, it is essential to precisely describe these coordination bonds to elucidate the specific interactions between APR and APRin. Therefore, we employed the ab initio fragment molecular orbital method to investigate the specific interactions at an electronic level. The results revealed that Ser1 and Ser2 at the N-terminus of APRin significantly contribute to the binding between APRin and APR. In particular, Ser1 binds strongly to Zn2+ as well as to the sidechains of His176(Hid), His180(Hid), and His186(Hid) in APR. This is the main reason for the strong interaction between APR and APRin. The results also elucidated significant contributions of the positively charged Arg83 and Arg90 residues of APRin to the binding with APR. These findings may provide information useful for the design of novel small agents as potent APR inhibitors. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
16102940
Volume :
28
Issue :
1
Database :
Academic Search Index
Journal :
Journal of Molecular Modeling
Publication Type :
Academic Journal
Accession number :
154713229
Full Text :
https://doi.org/10.1007/s00894-021-04991-y