Evidence map›Paper›PMID 35288754›Full record

ArticleNucleic acids research2022

Expanding the DNA-encoded library toolbox: identifying small molecules targeting RNA.

Qiuxia Chen, You Li, Chunrong Lin, Liu Chen, Hao Luo, Shuai Xia, Chuan Liu, Xuemin Cheng, Chengzhong Liu, Jin Li and 1 more

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.1field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 38 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Review
  9. Article
  10. EasyDock: customizable and scalable docking tool.Journal of cheminformatics · 2023
    Article
  11. Small-molecule discovery through DNA-encoded libraries.Nature reviews. Drug discovery · 2023
    Review
  12. A Riboswitch-Driven Era of New Antibacterials.Antibiotics (Basel, Switzerland) · 2022
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Qiuxia ChenHitGen Inc., Shuangliu District, Chengdu, China.ORCID 0000-0001-5074-5324
You LiHitGen Inc., Shuangliu District, Chengdu, China.ORCID 0000-0002-5042-9038
Chunrong LinHitGen Inc., Shuangliu District, Chengdu, China.
Liu ChenHitGen Inc., Shuangliu District, Chengdu, China.
Hao LuoHitGen Inc., Shuangliu District, Chengdu, China.
Shuai XiaHitGen Inc., Shuangliu District, Chengdu, China.
Chuan LiuHitGen Inc., Shuangliu District, Chengdu, China.
Xuemin ChengHitGen Inc., Shuangliu District, Chengdu, China.
Chengzhong LiuHitGen Inc., Shuangliu District, Chengdu, China.
Jin LiHitGen Inc., Shuangliu District, Chengdu, China.
Dengfeng DouHitGen Inc., Shuangliu District, Chengdu, China.ORCID 0000-0003-2964-7759

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA-encoded library (DEL) technology is a powerful tool for small molecule identification in drug discovery, yet the reported DEL selection strategies were applied primarily on protein targets in either purified form or in cellular context. To expand the application of this technology, we employed DEL selection on an RNA target HIV-1 TAR (trans-acting responsive region), but found that the majority of signals were resulted from false positive DNA-RNA binding. We thus developed an optimized selection strategy utilizing RNA patches and competitive elution to minimize unwanted DNA binding, followed by k-mer analysis and motif search to differentiate false positive signal. This optimized strategy resulted in a very clean background in a DEL selection against Escherichia coli FMN Riboswitch, and the enriched compounds were determined with double digit nanomolar binding affinity, as well as similar potency in functional FMN competition assay. These results demonstrated the feasibility of small molecule identification against RNA targets using DEL selection. The developed experimental and computational strategy provided a promising opportunity for RNA ligand screening and expanded the application of DEL selection to a much wider context in drug discovery.

Indexed as

RNASmall Molecule LibrariesDNAEscherichia coliFlavin MononucleotideLigandsRiboswitchDNAFlavin MononucleotideLigandsRiboswitchRNASmall Molecule Libraries

Identifiers

PMID35288754
PMCPMC9262588
OpenAlexW4214934254

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.