Proteomics-guided Engineering

Proteomics-Guided Engineering is a systems metabolic engineering approach that integrates quantitative proteomic data to rationally design and optimize metabolic pathways by identifying rate-limiting enzymes and regulatory bottlenecks in a cellular system.

3

Publications

265

Citations

30

Authors

13

Institutions

Publications per year

2017–2026

1

Authors

30

  1. JD
    Jay D. Keasling

    University of California, Berkeley, United States

    1 publications · 172 citations

    1

    h-index

  2. CJ
    Christopher J. Petzold

    Lawrence Berkeley National Laboratory, United States

    1 publications · 172 citations

    1

    h-index

  3. EK
    Eun‐Mi Kim

    Korea University, South Korea

    1 publications · 172 citations

    1

    h-index

  4. ML
    Muzi Li

    Northeast Agricultural University, China

    1 publications · 71 citations

    1

    h-index

  5. YC
    Yanbing Cheng

    BGI Group (China), China

    1 publications · 71 citations

    1

    h-index

1–5 of 30

Venues

  1. Journal of Chromatography A

    1 publications · 22 citations

    1

    h-index

  2. Metabolic Engineering

    1 publications · 172 citations

    1

    h-index

  3. Advanced Science

    1 publications · 71 citations

    1

    h-index

  4. Synthetic and Systems Biotechnology

    1 publications · 13 citations

1–4