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Qianqian Yuan

Researcher at Chinese Academy of Sciences

Publications -  42
Citations -  918

Qianqian Yuan is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Metabolic engineering & Medicine. The author has an hindex of 9, co-authored 27 publications receiving 438 citations. Previous affiliations of Qianqian Yuan include Tianjin University.

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Journal ArticleDOI

MEMOTE for standardized genome-scale metabolic model testing

Christian Lieven, +84 more
- 01 Mar 2020 - 
TL;DR: A community effort to develop a test suite named MEMOTE (for metabolic model tests) to assess GEM quality, and advocate adoption of the latest version of the Systems Biology Markup Language level 3 flux balance constraints (SBML3FBC) package as the primary description and exchange format.
Journal ArticleDOI

Cell-free chemoenzymatic starch synthesis from carbon dioxide.

TL;DR: In this paper, a chemical-biochemical hybrid pathway for starch synth synthesis was proposed, which is a major source of calories in the human diet and a primary feedstock for bio-industry.
Posted ContentDOI

Memote: A community-driven effort towards a standardized genome-scale metabolic model test suite

Christian Lieven, +65 more
- 21 Jun 2018 - 
TL;DR: For example, Memote as mentioned in this paper is an open-source software containing a community-maintained, standardized set of metabolic model tests, which can be extended to include experimental datasets for automatic model validation.
Posted ContentDOI

Memote: A community-driven effort towards a standardized genome-scale metabolic model test suite

TL;DR: Memote is presented, an open-source software containing a community-maintained, standardized set of metabolic model tests that provides a measure for model quality that is consistent across reconstruction platforms and analysis software and simplifies collaboration within the community by establishing workflows for publicly hosted and version controlled models.
Journal ArticleDOI

Adaptive laboratory evolution enhances methanol tolerance and conversion in engineered Corynebacterium glutamicum.

TL;DR: Wang et al. improve the methanol tolerance for the synthetic methylotroph, Corynebacterium glutamicum, and generate 3 new strains by directed evolution and use biochemical, transcriptomic, and genetic approaches to characterize the pathways underlying the enhanced meethanol metabolism.