Target Deconvolution

Target Deconvolution is an experimental and computational strategy in chemical genomics that retrospectively identifies and validates the specific molecular targets (such as genes, proteins, or pathways) through which a bioactive small molecule produces an observed phenotype, thereby linking phenotypic screening hits to their mechanisms of action.

40

Publications

1.8K

Citations

323

Authors

128

Institutions

Publications per year

2017–2026

22

Authors

323

  1. RA
    Roman A. Zubarev

    Karolinska Institutet, Sweden

    4 publications · 225 citations

    4

    h-index

  2. JZ
    Junzhe Zhang

    Chinese Academy of Medical Sciences & Peking Union Medical College, China

    2 publications · 47 citations

    2

    h-index

  3. LG
    Liwei Gu

    Chinese Academy of Medical Sciences & Peking Union Medical College, China

    2 publications · 47 citations

    2

    h-index

  4. ZL
    Zhijie Li

    Southern University of Science and Technology, China

    2 publications · 47 citations

    2

    h-index

  5. LD
    Lingyun Dai

    Southern University of Science and Technology, China

    2 publications · 47 citations

    2

    h-index

1–5 of 323

Venues

  1. Nature Communications

    4 publications · 371 citations

    4

    h-index

  2. Journal of Chemical Information and Modeling

    JCIM · 3 publications · 68 citations

    3

    h-index

  3. SLAS DISCOVERY

    3 publications · 85 citations

    3

    h-index

  4. Methods in molecular biology

    Book series · 4 publications · 100 citations

    3

    h-index

  5. ACS Infectious Diseases

    2 publications · 52 citations

    2

    h-index

1–5