Jie Zhang

Technical University of Denmark CWIS ORCID

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 3

Top Topics

Saccharomyces Cerevisiae

Top Venues

Nature communications

Nature chemical biology

Technical University of Denmark

Chalmers University of Technology (PHD)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

Technical University of Denmark Jan 01 2018

Denmark

Senior Researcher :: Novo Nordisk Foundation Center for Biosustainability

Technical University of Denmark Jan 01 2014 - Dec 31 2017

Denmark

Researcher :: Center for Biosustainability

Massachusetts Institute of Technology Sep 01 2011 - Dec 31 2013

United States

Postdoc Fellow :: Chemical Engineering

Education History

Chalmers University of Technology Jul 01 2008 - Aug 30 2011

Sweden

PHD :: Chemical & Biological Engineering

Publications

Samuel A Bradley, Beata J Lehka, Frederik G Hansson, Khem B Adhikari, Daniela Rago, Paulina Rubaszka, Ahmad K Haidar, Ling Chen, Lea G Hansen, Olga Gudich, Konstantina Giannakou, Bettina Lengger, Ryan T Gill, Yoko Nakamura, Thomas Dugé de Bernonville, Konstantinos Koudounas, David Romero-Suarez, Ling Ding, Yijun Qiao, Thomas M Frimurer, Anja A Petersen, Sébastien Besseau, Sandeep Kumar, Nicolas Gautron, Celine Melin, Jillian Marc, Remi Jeanneau, Sarah Ellen O'connor, Vincent Courdavault, Jay D Keasling, Jie Zhang, Michael Krogh Jensen
Biosynthesis of natural and halogenated plant monoterpene indole alkaloids in yeast. Nature chemical biology (2023)
Emil D Jensen, Marcus Deichmann, Xin Ma, Rikke U Vilandt, Giovanni Schiesaro, Marie B Rojek, Bettina Lengger, Line Eliasson, Justin M Vento, Deniz Durmusoglu, Sandie P Hovmand, Ibrahim Al'Abri, Jie Zhang, Nathan C Crook, Michael Krogh Jensen
Engineered cell differentiation and sexual reproduction in probiotic and mating yeasts. Nature communications 13 (1) (2022)
Jie Zhang, Søren D Petersen, Tijana Radivojević, Andrés Ramirez, Andrés Pérez-Manríquez, Eduardo Abeliuk, Benjamín J Sánchez, Zak Costello, Yu Chen, Michael J Fero, Héctor García Martín, Jens Nielsen, Jay D Keasling, Michael Krogh Jensen
Combining mechanistic and machine learning models for predictive engineering and optimization of tryptophan metabolism. Nature communications 11 (1) (2020)