Back

Open-Source DNA-Encoded Library Package for Design, Decoding, and Analysis: DELi

Wellnitz, J.; Novy, B. C.; Maxfield, T.; Zhilinskaya, I.; Lin, J.; Axtman, M.; Leisner, T.; Norris-Drouin, J. L.; Hardy, B. P.; Pearce, K. H.; Popov, K. I.

2025-03-01 bioinformatics
10.1101/2025.02.25.640184 bioRxiv
Show abstract

DNA-encoded library (DEL) technology has become a powerful tool in modern drug discovery. Fully harnessing its potential requires the use of extensive computational methodologies, which are often available only through proprietary software. This restricts accessibility for small teams lacking robust informatics support, hindering the growth of the technology. Here, we present DELi, an open-source DEL informatics platform designed for library design, NGS decoding and calling, and enrichment analysis. DELi supports a simple and easy to understand configuration setup to present a straightforward user interface. To showcase its capabilities, we used DELi to design an in-house custom, benzimidazole-based DEL (UNC DEL006), and performed proof-of-concept selection experiments against Bromodomain-containing Protein 4 (BRD4). The DELi decoding and analysis modules identified top-performing compounds, leading to the off-DNA synthesis of UNC11951, which was confirmed as a nanomolar BRD4 binder via isothermal titration calorimetry (ITC) and differential scanning fluorimetry (DSF). These results demonstrate DELi as an effective tool for DEL design and analysis. Furthermore, its open-source nature will promote ongoing development and contributions from the DEL community to expand its applications and capabilities, making DEL technology more widely accessible. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=94 SRC="FIGDIR/small/640184v3_ufig1.gif" ALT="Figure 1"> View larger version (25K): org.highwire.dtl.DTLVardef@1d4ca88org.highwire.dtl.DTLVardef@13cb4feorg.highwire.dtl.DTLVardef@8ea7ecorg.highwire.dtl.DTLVardef@1b294fc_HPS_FORMAT_FIGEXP M_FIG C_FIG

Matching journals

The top 8 journals account for 50% of the predicted probability mass.

1
Journal of Chemical Information and Modeling
207 papers in training set
Top 0.1%
26.4%
2
Nucleic Acids Research
1128 papers in training set
Top 4%
4.4%
3
Communications Chemistry
39 papers in training set
Top 0.1%
4.4%
4
Journal of Medicinal Chemistry
68 papers in training set
Top 0.3%
3.7%
5
Computational and Structural Biotechnology Journal
216 papers in training set
Top 1%
3.7%
6
Chemical Science
71 papers in training set
Top 0.3%
3.7%
7
Chemical Communications
24 papers in training set
Top 0.2%
3.1%
8
ACS Chemical Biology
150 papers in training set
Top 0.6%
2.9%
50% of probability mass above
9
Protein Science
221 papers in training set
Top 0.7%
1.8%
10
Journal of Cheminformatics
25 papers in training set
Top 0.3%
1.8%
11
Nature Communications
4913 papers in training set
Top 49%
1.8%
12
Analytical Chemistry
205 papers in training set
Top 1%
1.7%
13
Bioinformatics
1061 papers in training set
Top 7%
1.7%
14
mAbs
28 papers in training set
Top 0.2%
1.7%
15
Advanced Science
249 papers in training set
Top 10%
1.7%
16
JACS Au
35 papers in training set
Top 0.5%
1.5%
17
Nature Biotechnology
147 papers in training set
Top 5%
1.4%
18
PLOS ONE
4510 papers in training set
Top 58%
1.4%
19
Molecules
37 papers in training set
Top 1%
1.4%
20
Cell Chemical Biology
81 papers in training set
Top 2%
1.4%
21
SLAS Discovery
25 papers in training set
Top 0.1%
1.3%
22
Artificial Intelligence in the Life Sciences
11 papers in training set
Top 0.1%
1.3%
23
International Journal of Molecular Sciences
453 papers in training set
Top 11%
1.1%
24
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 40%
0.9%
25
ACS Omega
90 papers in training set
Top 3%
0.8%
26
Scientific Reports
3102 papers in training set
Top 72%
0.8%
27
ACS Pharmacology & Translational Science
40 papers in training set
Top 0.9%
0.8%
28
NAR Genomics and Bioinformatics
214 papers in training set
Top 4%
0.7%
29
Patterns
70 papers in training set
Top 3%
0.7%
30
Journal of Molecular Biology
217 papers in training set
Top 4%
0.7%