Nucleic Acid Sequence Optimization

Nucleic Acid Sequence Optimization is a computational or experimental methodology that systematically refines the linear arrangement of nucleotides in a nucleic acid sequence to enhance a specific functional or structural property, distinguishing it from general sequence design by its focus on iterative improvement toward predefined biochemical, biophysical, or expression-related performance criteria.

77

Publications

4.6K

Citations

239

Authors

102

Institutions

Publications per year

2017–2026

13

Authors

239

  1. ZI
    Zuwairie Ibrahim

    University of Technology Malaysia, Malaysia

    6 publications · 88 citations

    6

    h-index

  2. JX
    Jin Xu

    Huazhong University of Science and Technology, China

    4 publications · 107 citations

    4

    h-index

  3. BW
    Bin Wang

    Dalian University of Technology, China

    4 publications · 100 citations

    4

    h-index

  4. NK
    Noor Khalid

    University of Technology Malaysia, Malaysia

    4 publications · 62 citations

    4

    h-index

  5. MK
    Marzuki Khalid

    University of Technology Malaysia, Malaysia

    3 publications · 52 citations

    3

    h-index

1–5 of 239

Venues

  1. Nucleic Acids Research

    11 publications · 1.4K citations

    10

    h-index

  2. Bioinformatics

    5 publications · 419 citations

    5

    h-index

  3. BMC Bioinformatics

    2 publications · 83 citations

    2

    h-index

  4. Journal of Computational Chemistry

    2 publications · 216 citations

    2

    h-index

  5. IEEE Transactions on NanoBioscience

    2 publications · 66 citations

    2

    h-index

1–5