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Title: Engineering allostery

Journal Article · · Trends in Genetics
 [1];  [1];  [1];  [2];  [1]
  1. Harvard Univ., Boston, MA (United States); Harvard Medical School, Boston, MA (United States)
  2. Univ. of Washington, Seattle, WA (United States)

Allosteric proteins have great potential in synthetic biology, but our limited understanding of the molecular underpinnings of allostery has hindered the development of designer molecules, including transcription factors with new DNA-binding or ligand-binding specificities that respond appropriately to inducers. Such allosteric proteins could function as novel switches in complex circuits, metabolite sensors, or as orthogonal regulators for independent, inducible control of multiple genes. Advances in DNA synthesis and next-generation sequencing technologies have enabled the assessment of millions of mutants in a single experiment, providing new opportunities to study allostery. Using the classic LacI protein as an example, in this paper we describe a genetic selection system using a bidirectional reporter to capture mutants in both allosteric states, allowing the positions most crucial for allostery to be identified. Finally, this approach is not limited to bacterial transcription factors, and could reveal new mechanistic insights and facilitate engineering of other major classes of allosteric proteins such as nuclear receptors, two-component systems, G protein-coupled receptors, and protein kinases.

Research Organization:
Harvard Univ., Cambridge, MA (United States)
Sponsoring Organization:
USDOE Office of Science (SC)
Grant/Contract Number:
FG02-02ER63445
OSTI ID:
1344516
Alternate ID(s):
OSTI ID: 1227554
Journal Information:
Trends in Genetics, Vol. 30, Issue 12; ISSN 0168-9525
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 47 works
Citation information provided by
Web of Science

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Cited By (20)

A microbial sensor for organophosphate hydrolysis exploiting an engineered specificity switch in a transcription factor journal August 2016
Engineering an allosteric transcription factor to respond to new ligands journal December 2015
Revealing Atomic-Level Mechanisms of Protein Allostery with Molecular Dynamics Simulations journal June 2016
Synthetic biology: applying biological circuits beyond novel therapies journal December 2015
Directed evolution of the PcaV allosteric transcription factor to generate a biosensor for aromatic aldehydes journal November 2019
Genetically encoded sensors enable real-time observation of metabolite production journal February 2016
De novo design of bioactive protein switches journal July 2019
Biosensor libraries harness large classes of binding domains for construction of allosteric transcriptional regulators journal August 2018
Genetically encoded biosensors for lignocellulose valorization journal October 2019
The Energetics of Molecular Adaptation in Transcriptional Regulation journal May 2019
Structural hierarchy controlling dimerization and target DNA recognition in the AHR transcriptional complex journal April 2017
Predictive shifts in free energy couple mutations to their phenotypic consequences journal August 2019
ASD v3.0: unraveling allosteric regulation with structural mechanisms and biological networks journal September 2015
Tailor-made transcriptional biosensors for optimizing microbial cell factories journal November 2016
Synthetic Biology-The Synthesis of Biology journal April 2017
Synthetic biology: Applying biological circuits beyond novel therapies text January 2016
The Energetics of Molecular Adaptation in Transcriptional Regulation preprint January 2019
Engineering a pH responsive pore forming protein journal February 2017
Design and application of a lactulose biosensor journal April 2017
Reply to the Comment by Littlechild and Isupov journal September 2017

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