2020
DOI: 10.21203/rs.3.rs-52267/v3
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

An automated workflow to screen alkene reductases using high-throughput thin layer chromatography

Abstract: Background: Synthetic biology efforts often require high-throughput screening tools for enzyme engineering campaigns. While innovations in chromatographic and mass spectrometry-based techniques provide relevant structural information associated with enzyme activity, these approaches can require cost-intensive instrumentation and technical expertise not broadly available. Moreover, complex workflows and analysis time can significantly impact throughput. To this end, we develop an automated, 96-well screening pl… Show more

Help me understand this report
View published versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2022
2022
2022
2022

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 42 publications
0
1
0
Order By: Relevance
“…To confirm the novelty of HepR as a new enzyme with a substrate recognition site different from GGR, we compared the substrate specificity of HepR with that of GGR from the archaeon S. acidocaldarius (SaGGR) [20,42,[49][50][51][52], which is one of the most studied enzymes in the GGR family. All substrates and two enzymes were prepared to the same concentration, respectively.…”
Section: Comparison Of Substrate Specificity Of Hepr and Saggrmentioning
confidence: 99%
“…To confirm the novelty of HepR as a new enzyme with a substrate recognition site different from GGR, we compared the substrate specificity of HepR with that of GGR from the archaeon S. acidocaldarius (SaGGR) [20,42,[49][50][51][52], which is one of the most studied enzymes in the GGR family. All substrates and two enzymes were prepared to the same concentration, respectively.…”
Section: Comparison Of Substrate Specificity Of Hepr and Saggrmentioning
confidence: 99%