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Phage-Assisted Continuous Evolution (PACE): A Guide Focused on Evolving Protein–DNA Interactions
- Source :
- ACS Omega, ACS Omega, Vol 5, Iss 42, Pp 26957-26966 (2020)
- Publication Year :
- 2020
- Publisher :
- American Chemical Society (ACS), 2020.
-
Abstract
- The uptake of directed evolution methods is increasing, as these powerful systems can be utilized to develop new biomolecules with altered/novel activities, for example, proteins with new catalytic functions or substrate specificities and nucleic acids that recognize an intended target. Especially useful are systems that incorporate continuous evolution, where the protein under selective pressure undergoes continuous mutagenesis with little-to-no input from the researcher once the system is started. However, continuous evolution methods can be challenging to implement and a daunting investment of time and resources. Our intent is to provide basic information and helpful suggestions that we have gained from our experience with bacterial phage-assisted continuous evolution (PACE) toward the evolution of proteins that bind to a specific DNA target. We discuss factors to consider before adopting PACE for a given evolution scheme with focus on the PACE bacterial one-hybrid selection system and what optimization of a PACE selection circuit may look like using the evolution of the DNA-binding protein ME47 as a case study. We outline different types of selection circuits and techniques that may be added onto a basic PACE setup. With this information, researchers will be better equipped to determine whether PACE is a valid strategy to adopt for their research program and how to set up a valid selection circuit.
- Subjects :
- Scheme (programming language)
0303 health sciences
Substrate Specificities
Computer science
General Chemical Engineering
Protein dna
General Chemistry
Mini-Review
010402 general chemistry
Directed evolution
01 natural sciences
0104 chemical sciences
Chemistry
03 medical and health sciences
Human–computer interaction
Set (psychology)
QD1-999
computer
Selection (genetic algorithm)
Continuous evolution
030304 developmental biology
Pace
computer.programming_language
Subjects
Details
- ISSN :
- 24701343
- Volume :
- 5
- Database :
- OpenAIRE
- Journal :
- ACS Omega
- Accession number :
- edsair.doi.dedup.....d52b0829f649d95806c2dee134707700
- Full Text :
- https://doi.org/10.1021/acsomega.0c03508