Back

High-throughput competitive binding assay for targeting RNA with small molecules: discovery of new PreQ1 riboswitch ligands

Wintermans, S.; Hoffmann, J. S.; Tacoma, M. D.; Broekhuizen, I.; van Doodewaerd, B. R.; Geurink, P. P.; Janssen, A. P. A.; Artola, M. E.; Olsthoorn, R.

2024-05-22 biochemistry
10.1101/2024.05.22.595132 bioRxiv
Show abstract

In the evolving landscape of RNA targeting, there is an indisputable need for new screening methodologies to find small molecules targeting relevant tertiary RNA structures, like viral pseudoknots or bacterial riboswitches. Here, we developed a competitive binding high-throughput screening assay to identify ligands for the bacterial PreQ1-I riboswitch. In this assay, ligands compete with a rationally designed quencherlabeled antisense for binding to the riboswitch. The method is validated for the Fusobacterium nucleatum (Fnu), Thermoanaerobacter tengcongensis (Tte), Bacillus subtilis (Bsu) and Enterococcus faecalis (Efa) PreQ1 riboswitches, using the natural riboswitch ligand PreQ1 and various analogues. A commercial RNA-focused library consisting of [~]15,000 compounds was then screened against the Fnu riboswitch, leading to the identification of 4 hits exhibiting competitive binding activity. These hits were evaluated in in vitro translation assays against several PreQ1 riboswitches. The most promising hit 4494 showed competitive binding activity to the Fnu, Tte, Bsu and Efa riboswitches, and was able to inhibit translation of a Tte riboswitch-regulated reporter gene, making it an interesting starting point for the development of new antibiotics. In essence, this HTS assay has the potential to discover highly sought-after RNA targeting small molecules for complex and clinically relevant RNA structures. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=93 SRC="FIGDIR/small/595132v1_ufig1.gif" ALT="Figure 1"> View larger version (17K): org.highwire.dtl.DTLVardef@d7af01org.highwire.dtl.DTLVardef@227e93org.highwire.dtl.DTLVardef@a3f24corg.highwire.dtl.DTLVardef@17883e9_HPS_FORMAT_FIGEXP M_FIG C_FIG

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
ACS Chemical Biology
167 papers in training set
Top 0.1%
15.1%
2
RSC Chemical Biology
39 papers in training set
Top 0.1%
9.6%
3
Journal of the American Chemical Society
217 papers in training set
Top 0.4%
7.9%
4
Angewandte Chemie International Edition
93 papers in training set
Top 0.1%
7.9%
5
Chemical Science
73 papers in training set
Top 0.1%
7.3%
6
Nucleic Acids Research
1281 papers in training set
Top 3%
5.5%
50% of probability mass above
7
Nature Communications
5641 papers in training set
Top 29%
4.8%
8
Chemical Communications
25 papers in training set
Top 0.1%
4.3%
9
Cell Chemical Biology
94 papers in training set
Top 0.3%
4.0%
10
Biochemistry
148 papers in training set
Top 0.7%
3.2%
11
SLAS Discovery
25 papers in training set
Top 0.1%
2.7%
12
ACS Synthetic Biology
287 papers in training set
Top 1%
2.6%
13
Journal of Medicinal Chemistry
77 papers in training set
Top 0.7%
1.1%
14
Scientific Reports
3612 papers in training set
Top 65%
1.1%
15
Bioorganic & Medicinal Chemistry Letters
10 papers in training set
Top 0.1%
1.1%
16
JACS Au
43 papers in training set
Top 0.7%
1.1%
17
Analytical Chemistry
218 papers in training set
Top 2%
1.0%
18
ChemBioChem
55 papers in training set
Top 1.0%
1.0%
19
ACS Central Science
71 papers in training set
Top 1%
1.0%
20
ACS Omega
105 papers in training set
Top 3%
0.8%
21
Nature Chemistry
42 papers in training set
Top 1.0%
0.8%
22
Journal of Biological Chemistry
690 papers in training set
Top 9%
0.8%
23
ACS Medicinal Chemistry Letters
17 papers in training set
Top 0.3%
0.8%
24
Angewandte Chemie
15 papers in training set
Top 0.2%
0.8%
25
Science Advances
1243 papers in training set
Top 33%
0.6%
26
International Journal of Biological Macromolecules
76 papers in training set
Top 2%
0.6%