Evidence map›Paper›PMID 30884226›Full record

ArticleACS combinatorial science2019

Activity-Based DNA-Encoded Library Screening.

Wesley G Cochrane, Marie L Malone, Vuong Q Dang, Valerie Cavett, Alexander L Satz, Brian M Paegel

Abstract read
In one paragraph

Article in ACS combinatorial science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Droplet-Based Microfluidics Methods for Detecting Enzyme Inhibitors.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Building Block-Centric Approach to DNA-Encoded Library Design.Journal of chemical information and modeling · 2024
    Article
  12. Review
  13. Article
  14. Article
  15. Small-molecule discovery through DNA-encoded libraries.Nature reviews. Drug discovery · 2023
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

6 authors.

Wesley G Cochrane
Vuong Q Dang
Valerie Cavett
Alexander L SatzRoche Pharma Research and Early Development (pRED) Roche Innovation Center Basel F. Hoffman-La Roche Ltd Grenzacherstrasse 124 CH-4070 Basel Switzerland.ORCID 0000-0003-1284-1977

Funding

High-Throughput Droplet-Scale Functional Screening of DNA-Encoded Combinatorial LibrariesR01GM120491 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI PAEGEL, BRIAN M · 2017 to 2020
$1.4M
NIGMS NIH HHS R01 GM120491
6 · The paper itself

Abstract

Robotic high-throughput compound screening (HTS) and, increasingly, DNA-encoded library (DEL) screening are driving bioactive chemical matter discovery in the postgenomic era. HTS enables activity-based investigation of highly complex targets using static compound libraries. Conversely, DEL grants efficient access to novel chemical diversity, although screening is limited to affinity-based selections. Here, we describe an integrated droplet-based microfluidic circuit that directly screens solid-phase DELs for activity. An example screen of a 67 100-member library for inhibitors of the phosphodiesterase autotaxin yielded 35 high-priority structures for nanomole-scale synthesis and validation (20 active), guiding candidate selection for synthesis at scale (5/5 compounds with IC

Indexed as

Combinatorial Chemistry TechniquesDNADrug Evaluation, PreclinicalElectrochemical TechniquesHigh-Throughput Screening AssaysPeptidesPhotochemical ProcessesSmall Molecule LibrariesSolid-Phase Synthesis TechniquesDNAPeptidesSmall Molecule LibrariesDNA-encoded librarydropletdrug discoverymicrofluidicsOBOC

Identifiers

PMID30884226
PMCPMC6786493

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.