Evidence map›Paper›PMID 28199790›Full record

ArticleACS combinatorial science2017

An Integrated Microfluidic Processor for DNA-Encoded Combinatorial Library Functional Screening.

Andrew B MacConnell, Alexander K Price, Brian M Paegel

Open access · bronzeAbstract read
In one paragraph

Article in ACS combinatorial science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
5.5field-weighted citation impact, top 4% 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

39 citing papers in PubMed, 95 citations in OpenAlex.

  1. Article
  2. Review
  3. DNA-encoded chemical libraries on stage.Nature chemical biology · 2025
    Article
  4. DNA-Encoded Peptide Library Synthesis and Applications, a Mini-Review.Methods in molecular biology (Clifton, N.J.) · 2025
    Review
  5. My Perspective on OBOC Combinatorial Technology.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  6. Review
  7. Small-molecule discovery through DNA-encoded libraries.Nature reviews. Drug discovery · 2023
    Review
  8. Article
  9. Article
  10. Translating the Genome into Drugs.Accounts of chemical research · 2023
    Article
  11. Article
  12. Review
  13. Review
  14. Review
  15. Review
  16. Review
  17. Review
  18. Review
  19. Article
  20. 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

3 authors at 1 institution in 1 country.

Andrew B MacConnellDepartment of Chemistry and ‡Doctoral Program in Chemical and Biological Sciences, The Scripps Research Institute , 130 Scripps Way, Jupiter, Florida 33458, United States.
Alexander K PriceDepartment of Chemistry and ‡Doctoral Program in Chemical and Biological Sciences, The Scripps Research Institute , 130 Scripps Way, Jupiter, Florida 33458, United States.
Brian M PaegelDepartment of Chemistry and ‡Doctoral Program in Chemical and Biological Sciences, The Scripps Research Institute , 130 Scripps Way, Jupiter, Florida 33458, United States.ORCID 0000-0002-6531-6693
Scripps Research Institute · US

Funding

Evolving and Engineering New Protease Tools for Mass Spectrometry ProteomicsDP2OD008535 · OD · SCRIPPS FLORIDA · PI PAEGEL, BRIAN M · 2011 to 2011
$3.0M
NIH HHS DP2 OD008535
6 · The paper itself

Abstract

DNA-encoded synthesis is rekindling interest in combinatorial compound libraries for drug discovery and in technology for automated and quantitative library screening. Here, we disclose a microfluidic circuit that enables functional screens of DNA-encoded compound beads. The device carries out library bead distribution into picoliter-scale assay reagent droplets, photochemical cleavage of compound from the bead, assay incubation, laser-induced fluorescence-based assay detection, and fluorescence-activated droplet sorting to isolate hits. DNA-encoded compound beads (10-μm diameter) displaying a photocleavable positive control inhibitor pepstatin A were mixed (1920 beads, 729 encoding sequences) with negative control beads (58 000 beads, 1728 encoding sequences) and screened for cathepsin D inhibition using a biochemical enzyme activity assay. The circuit sorted 1518 hit droplets for collection following 18 min incubation over a 240 min analysis. Visual inspection of a subset of droplets (1188 droplets) yielded a 24% false discovery rate (1166 pepstatin A beads; 366 negative control beads). Using template barcoding strategies, it was possible to count hit collection beads (1863) using next-generation sequencing data. Bead-specific barcodes enabled replicate counting, and the false discovery rate was reduced to 2.6% by only considering hit-encoding sequences that were observed on >2 beads. This work represents a complete distributable small molecule discovery platform, from microfluidic miniaturized automation to ultrahigh-throughput hit deconvolution by sequencing.

Indexed as

Lab-On-A-Chip DevicesBase SequenceCathepsin DCombinatorial Chemistry TechniquesDNADrug Evaluation, PreclinicalEnzyme InhibitorsEquipment DesignGene LibraryHumansMicrospheresPepstatinsCathepsin DDNAEnzyme InhibitorspepstatinPepstatinscombinatorial compound librariesDNA-encoded synthesisminiaturized automation

Identifiers

PMID28199790
PMCPMC5350604
OpenAlexW2588529552

What OpenQuestion holds

Textmetadata
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.