Selection Pressure Optimization

Selection Pressure Optimization is a methodological framework in enzyme evolution and strain improvement that systematically modulates selective conditions to maximize the enrichment of desired phenotypes by enhancing the differential fitness between high-performing variants and the background population.

47

Publications

4.5K

Citations

172

Authors

79

Institutions

Publications per year

2017–2026

14

Authors

172

  1. AF
    Alexander F. Weickhardt

    Massachusetts Institute of Technology, United States

    1 publications · 80 citations

    1

    h-index

  2. CP
    Christopher P. Mancuso

    Boston University, United States

    1 publications · 22 citations

    1

    h-index

  3. LQ
    Lei Qin

    Zhejiang University of Technology, China

    1 publications · 200 citations

    1

    h-index

  4. JH
    Jung Heon Lee

    Sungkyunkwan University, South Korea

    1 publications · 10 citations

    1

    h-index

  5. TE
    Tali E. Haran

    Technion – Israel Institute of Technology, Israel

    1 publications · 27 citations

    1

    h-index

1–5 of 172

Venues

  1. Proceedings of the National Academy of Sciences

    PNAS · 3 publications · 220 citations

    3

    h-index

  2. IEEE Transactions on Evolutionary Computation

    2 publications · 1.6K citations

    2

    h-index

  3. 1

    h-index

  4. Bioresource Technology

    1 publications · 29 citations

    1

    h-index

  5. Environmental Research

    1 publications · 15 citations

    1

    h-index

1–5