Evidence map›Paper›PMID 38197367›Full record

ReviewJournal of medicinal chemistry2024

Screening Ultra-Large Encoded Compound Libraries Leads to Novel Protein-Ligand Interactions and High Selectivity.

Gavin W Collie, Matthew A Clark, Anthony D Keefe, Andrew Madin, Jon A Read, Emma L Rivers, Ying Zhang

Abstract readReview
In one paragraph

Review in Journal of medicinal chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. NG25 Enhances Anti-Tumor Immunity inOncoTargets and therapy · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Building Block-Centric Approach to DNA-Encoded Library Design.Journal of chemical information and modeling · 2024
    Article
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

7 authors.

Gavin W CollieAstraZeneca, Cambridge CB2 0AA, U.K.ORCID 0000-0002-0406-922X
Matthew A ClarkX-Chem, Inc., Waltham, Massachusetts 02453, United States.
Anthony D KeefeX-Chem, Inc., Waltham, Massachusetts 02453, United States.
Andrew MadinAstraZeneca, Cambridge CB2 0AA, U.K.
Jon A ReadAstraZeneca, Cambridge CB2 0AA, U.K.
Emma L RiversAstraZeneca, Cambridge CB2 0AA, U.K.
Ying ZhangX-Chem, Inc., Waltham, Massachusetts 02453, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The DNA-encoded library (DEL) discovery platform has emerged as a powerful technology for hit identification in recent years. It has become one of the major parallel workstreams for small molecule drug discovery along with other strategies such as HTS and data mining. For many researchers working in the DEL field, it has become increasingly evident that many hits and leads discovered via DEL screening bind to target proteins with unique and unprecedented binding modes. This Perspective is our attempt to analyze reports of DEL screening with the purpose of providing a rigorous and useful account of the binding modes observed for DEL-derived ligands with a focus on binding mode novelty.

Indexed as

DNASmall Molecule LibrariesCombinatorial Chemistry TechniquesDrug DiscoveryLigandsDNALigandsSmall Molecule Libraries

Identifiers

PMID38197367
PMCPMC10823476

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.