Evidence map›Paper›PMID 29683493›Full record

ReviewFEBS letters2018

DNA-encoded chemical libraries - achievements and remaining challenges.

Nicholas Favalli, Gabriele Bassi, Jörg Scheuermann, Dario Neri

Abstract readReview
In one paragraph

Review in FEBS letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed
–field-weighted citation impact
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

58 citing papers in PubMed.

  1. Article
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  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. PNA-Encoded Synthesis (PES) and DNA Display of Small-Molecule Libraries.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
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  17. Article
  18. Article
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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

4 authors.

Nicholas FavalliDepartment of Chemistry and Applied Biosciences, Swiss Federal Institute of Technology (ETH Zürich), Zürich, Switzerland.
Gabriele BassiDepartment of Chemistry and Applied Biosciences, Swiss Federal Institute of Technology (ETH Zürich), Zürich, Switzerland.
Jörg ScheuermannDepartment of Chemistry and Applied Biosciences, Swiss Federal Institute of Technology (ETH Zürich), Zürich, Switzerland.ORCID 0000-0001-7746-4717
Dario NeriDepartment of Chemistry and Applied Biosciences, Swiss Federal Institute of Technology (ETH Zürich), Zürich, Switzerland.ORCID 0000-0001-5234-7370

Funding

Swiss National Science Foundation 163479
6 · The paper itself

Abstract

DNA-encoded chemical libraries (DECLs) are collections of compounds, individually coupled to DNA tags serving as amplifiable identification barcodes. Since individual compounds can be identified by the associated DNA tag, they can be stored as a mixture, allowing the synthesis and screening of combinatorial libraries of unprecedented size, facilitated by the implementation of split-and-pool synthetic procedures or other experimental methodologies. In this review, we briefly present relevant concepts and technologies, which are required for the implementation and interpretation of screening procedures with DNA-encoded chemical libraries. Moreover, we illustrate some success stories, detailing how novel ligands were discovered from encoded libraries. Finally, we critically review what can realistically be achieved with the technology at the present time, highlighting challenges and opportunities for the future.

Indexed as

Small Molecule LibrariesCombinatorial Chemistry TechniquesDNADrug DiscoveryDrug Evaluation, PreclinicalHumansStructure-Activity RelationshipDNASmall Molecule Librariescombinatorial chemistryDNADNA-encoded chemical librariesdrug discoveryhigh-throughput DNA sequencing

Identifiers

PMID29683493
PMCPMC6126621

What OpenQuestion holds

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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.