Mapping protein selectivity landscapes using multi-target selective screening and next-generation sequencing of combinatorial libraries
Characterizing the binding selectivity landscape of interacting proteins is crucial in protein engineering. Here the authors use multi-target selective library screening and in silico next-generation sequencing to map the binding landscape of proteins and produce improved proteases inhibitors.
Enregistré dans:
Auteurs principaux: | Si Naftaly, Itay Cohen, Anat Shahar, Alexandra Hockla, Evette S. Radisky, Niv Papo |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2018
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/ac5f05fbac774e239f296d3fd917c27a |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Generating quantitative binding landscapes through fractional binding selections combined with deep sequencing and data normalization
par: Michael Heyne, et autres
Publié: (2020) -
Combinatorial Semasiology: Selective Component of Lexical Meaning of Word
par: M. V. Vlavatskaya
Publié: (2017) -
Rationally reduced libraries for combinatorial pathway optimization minimizing experimental effort
par: Markus Jeschek, et autres
Publié: (2016) -
Combinatorial entropy behaviour leads to range selective binding in ligand-receptor interactions
par: Meng Liu, et autres
Publié: (2020) -
Comprehensive assessment of TP53 loss of function using multiple combinatorial mutagenesis libraries
par: Vincent Carbonnier, et autres
Publié: (2020)