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volume 9 issue 6 pages e100643

Computational Design of a pH Stable Enzyme: Understanding Molecular Mechanism of Penicillin Acylase's Adaptation to Alkaline Conditions

Publication typeJournal Article
Publication date2014-06-24
scimago Q1
wos Q2
SJR0.803
CiteScore5.4
Impact factor2.6
ISSN19326203
Multidisciplinary
Abstract
Protein stability provides advantageous development of novel properties and can be crucial in affording tolerance to mutations that introduce functionally preferential phenotypes. Consequently, understanding the determining factors for protein stability is important for the study of structure-function relationship and design of novel protein functions. Thermal stability has been extensively studied in connection with practical application of biocatalysts. However, little work has been done to explore the mechanism of pH-dependent inactivation. In this study, bioinformatic analysis of the Ntn-hydrolase superfamily was performed to identify functionally important subfamily-specific positions in protein structures. Furthermore, the involvement of these positions in pH-induced inactivation was studied. The conformational mobility of penicillin acylase in Escherichia coli was analyzed through molecular modeling in neutral and alkaline conditions. Two functionally important subfamily-specific residues, Gluβ482 and Aspβ484, were found. Ionization of these residues at alkaline pH promoted the collapse of a buried network of stabilizing interactions that consequently disrupted the functional protein conformation. The subfamily-specific position Aspβ484 was selected as a hotspot for mutation to engineer enzyme variant tolerant to alkaline medium. The corresponding Dβ484N mutant was produced and showed 9-fold increase in stability at alkaline conditions. Bioinformatic analysis of subfamily-specific positions can be further explored to study mechanisms of protein inactivation and to design more stable variants for the engineering of homologous Ntn-hydrolases with improved catalytic properties.
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GOST Copy
Suplatov D. et al. Computational Design of a pH Stable Enzyme: Understanding Molecular Mechanism of Penicillin Acylase's Adaptation to Alkaline Conditions // PLoS ONE. 2014. Vol. 9. No. 6. p. e100643.
GOST all authors (up to 50) Copy
Suplatov D., Panin N., Kirilin E., Shcherbakova T., Kudryavtsev P., Švedas V. Computational Design of a pH Stable Enzyme: Understanding Molecular Mechanism of Penicillin Acylase's Adaptation to Alkaline Conditions // PLoS ONE. 2014. Vol. 9. No. 6. p. e100643.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1371/journal.pone.0100643
UR - https://dx.plos.org/10.1371/journal.pone.0100643
TI - Computational Design of a pH Stable Enzyme: Understanding Molecular Mechanism of Penicillin Acylase's Adaptation to Alkaline Conditions
T2 - PLoS ONE
AU - Suplatov, Dmitry
AU - Panin, Nikolay
AU - Kirilin, Evgeny
AU - Shcherbakova, Tatyana
AU - Kudryavtsev, Pavel
AU - Švedas, Vytas
PY - 2014
DA - 2014/06/24
PB - Public Library of Science (PLoS)
SP - e100643
IS - 6
VL - 9
PMID - 24959852
SN - 1932-6203
ER -
BibTex |
Cite this
BibTex (up to 50 authors) Copy
@article{2014_Suplatov,
author = {Dmitry Suplatov and Nikolay Panin and Evgeny Kirilin and Tatyana Shcherbakova and Pavel Kudryavtsev and Vytas Švedas},
title = {Computational Design of a pH Stable Enzyme: Understanding Molecular Mechanism of Penicillin Acylase's Adaptation to Alkaline Conditions},
journal = {PLoS ONE},
year = {2014},
volume = {9},
publisher = {Public Library of Science (PLoS)},
month = {jun},
url = {https://dx.plos.org/10.1371/journal.pone.0100643},
number = {6},
pages = {e100643},
doi = {10.1371/journal.pone.0100643}
}
MLA
Cite this
MLA Copy
Suplatov, Dmitry, et al. “Computational Design of a pH Stable Enzyme: Understanding Molecular Mechanism of Penicillin Acylase's Adaptation to Alkaline Conditions.” PLoS ONE, vol. 9, no. 6, Jun. 2014, p. e100643. https://dx.plos.org/10.1371/journal.pone.0100643.