Literature DB >> 20591901

Engineering allosteric regulation into the hinge region of a circularly permuted TEM-1 beta-lactamase.

Valéry Mathieu1, Jacques Fastrez, Patrice Soumillion.   

Abstract

In nature, the activity of many enzymes involved in important biochemical pathways is controlled by binding a ligand in a site remote from the active site. The allosteric sites are frequently located in hinge regulatory subunits, in which a conformational change can occur and propagate to the active site. The enzymatic activity is then enhanced or decreased depending on the type of effectors. Many artificial binding sites have been created to engineer an allosteric regulation. Generally, these sites were engineered near the active site in loops or at the surface of contiguous helices or strands but rarely in hinge regions. This work aims at exploring the possibility of regulating a monomeric enzyme whose active site is located at the interface between two domains. We anticipated that binding of a ligand in the hinge region linking the domains would modify their positioning and, consequently, modulate the activity. Here, we describe the design of two mutants in a circularly permuted TEM-1 (cpTEM-1) beta-lactamase. The first one, cpTEM-1-His(3) was created by a rational design. It shows little regulation upon metal ion binding except for a weak activation with Zn(2+). The second one, cpTEM-1-3M-His(2), was selected by a directed evolution strategy. It is allosterically down-regulated by Zn(2+), Ni(2+) and Co(2+) with binding affinities around 300 microM.

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Year:  2010        PMID: 20591901     DOI: 10.1093/protein/gzq041

Source DB:  PubMed          Journal:  Protein Eng Des Sel        ISSN: 1741-0126            Impact factor:   1.650


  3 in total

1.  Spectroscopic analysis and docking simulation on the recognition and binding of TEM-1 β-lactamase with β-lactam antibiotics.

Authors:  Jianting Yang; Qian Li; Liujiao Bian
Journal:  Exp Ther Med       Date:  2017-07-31       Impact factor: 2.447

2.  Current and Emerging Tools of Computational Biology To Improve the Detoxification of Mycotoxins.

Authors:  Natalie Sandlin; Darius Russell Kish; John Kim; Marco Zaccaria; Babak Momeni
Journal:  Appl Environ Microbiol       Date:  2021-12-08       Impact factor: 5.005

3.  Exploiting protein flexibility to predict the location of allosteric sites.

Authors:  Alejandro Panjkovich; Xavier Daura
Journal:  BMC Bioinformatics       Date:  2012-10-25       Impact factor: 3.169

  3 in total

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