Back

DRUG TARGET IDENTIFICATION VIA A CONDITIONALLY STABILIZED TurboID ENZYME

Xue, Y.; Zaczek, F.; Jansen, R.-P.

2026-05-07 biochemistry
10.64898/2026.05.05.722860 bioRxiv
Show abstract

Different small-molecule drugs targeting the same protein can produce divergent clinical outcomes through poorly characterized interactome changes. Existing proximity labeling approaches for target identification suffer from background biotinylation independent of small-molecule recruitment, obscuring true drug targets and their binding partners. Here, we incorporate a destabilizing domain (DD) into the biotin targeting chimera (BioTAC) framework to create ddBioTAC, wherein the proximity labeling enzyme TurboID is selectively stabilized only upon binding of a bifunctional targeting molecule. Using the bromodomain-targeting molecule NICE-01 in HeLa cells, we demonstrate that, in the absence of the bifunctional targeting molecule the destabilized TurboID enzyme (TurboID-DD) exhibits reduced protein levels and biotinylation activity compared to the control TurboID-FKBP (FK506-binding protein), while recovering comparable activity upon NICE-01 treatment. This results in an eightfold improvement in specific enrichment of the known target bromodomain containing protein 4 (BRD4) and its interactors, including MED1 and EF1D. Proteome-wide mass spectrometry confirms that ddBioTAC more accurately discriminates drug targets and proximal interactors from non-specific background, advancing unbiased drug-induced interactome profiling.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

1
Nature Chemical Biology
104 papers in training set
Top 0.1%
21.7%
2
Nature Communications
4913 papers in training set
Top 9%
16.9%
3
ACS Central Science
66 papers in training set
Top 0.1%
6.6%
4
Angewandte Chemie International Edition
81 papers in training set
Top 0.6%
6.1%
50% of probability mass above
5
Journal of the American Chemical Society
199 papers in training set
Top 1%
6.1%
6
Nucleic Acids Research
1128 papers in training set
Top 6%
3.5%
7
Cell Chemical Biology
81 papers in training set
Top 0.9%
3.1%
8
Chemical Science
71 papers in training set
Top 0.5%
3.0%
9
Nature Biotechnology
147 papers in training set
Top 3%
2.6%
10
Advanced Science
249 papers in training set
Top 8%
2.3%
11
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 29%
2.0%
12
Nature Methods
336 papers in training set
Top 4%
2.0%
13
ACS Chemical Biology
150 papers in training set
Top 0.8%
2.0%
14
Cell Reports Methods
141 papers in training set
Top 2%
1.8%
15
Molecular & Cellular Proteomics
158 papers in training set
Top 1%
1.2%
16
Communications Chemistry
39 papers in training set
Top 0.6%
1.1%
17
JACS Au
35 papers in training set
Top 0.8%
0.9%
18
Communications Biology
886 papers in training set
Top 18%
0.9%
19
Nature Chemistry
34 papers in training set
Top 0.8%
0.9%
20
Molecular Cell
308 papers in training set
Top 9%
0.9%
21
Cell Systems
167 papers in training set
Top 11%
0.9%
22
eLife
5422 papers in training set
Top 60%
0.7%
23
Cell Genomics
162 papers in training set
Top 7%
0.7%
24
RSC Chemical Biology
32 papers in training set
Top 0.8%
0.6%
25
Cell Reports
1338 papers in training set
Top 36%
0.6%
26
Science Advances
1098 papers in training set
Top 34%
0.6%