Model-driven generation of artificial yeast promoters
A small set of promoters is used for most genetic construct design in S. cerevisiae. Here, the authors develop a predictive model of promoter activity trained on a data set of over one million sequences and use it to design large sets of high-activity promoters.
Enregistré dans:
Auteurs principaux: | Benjamin J. Kotopka, Christina D. Smolke |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2020
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/60f4d5679ca14b2e8e6f8ec1bb4c67b7 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Engineering biosynthesis of the anticancer alkaloid noscapine in yeast
par: Yanran Li, et autres
Publié: (2016) -
A light-driven artificial flytrap
par: Owies M. Wani, et autres
Publié: (2017) -
Molecular structure of promoter-bound yeast TFIID
par: Olga Kolesnikova, et autres
Publié: (2018) -
Ultra-fast artificial neuron: generation of picosecond-duration spikes in a current-driven antiferromagnetic auto-oscillator
par: Roman Khymyn, et autres
Publié: (2018) -
Power generator driven by Maxwell’s demon
par: Kensaku Chida, et autres
Publié: (2017)