Evidence map›Paper›PMID 28892357›Full record

ArticleACS combinatorial science2017

Library Design-Facilitated High-Throughput Sequencing of Synthetic Peptide Libraries.

Alexander A Vinogradov, Zachary P Gates, Chi Zhang, Anthony J Quartararo, Kathryn H Halloran, Bradley L Pentelute

Abstract 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 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. ACS central science · 2021
    Article
  13. Article
  14. Article
  15. Article
  16. Evolving a Peptide: Library Platforms and Diversification Strategies.International journal of molecular sciences · 2019
    Review
  17. Article
  18. Article
  19. Xenoprotein engineering via synthetic libraries.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  20. Site-Selective Cysteine-Cyclooctyne Conjugation.Angewandte Chemie (International ed. in English) · 2018
    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.

Alexander A VinogradovDepartment of Chemistry, Massachusetts Institute of Technology , 18-563, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States.ORCID 0000-0002-8899-0533
Zachary P GatesDepartment of Chemistry, Massachusetts Institute of Technology , 18-563, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States.
Chi ZhangDepartment of Chemistry, Massachusetts Institute of Technology , 18-563, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States.
Anthony J QuartararoDepartment of Chemistry, Massachusetts Institute of Technology , 18-563, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States.
Kathryn H HalloranDepartment of Chemistry, Massachusetts Institute of Technology , 18-563, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States.
Bradley L PenteluteDepartment of Chemistry, Massachusetts Institute of Technology , 18-563, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States.

Funding

Cysteine ArylationR01GM110535 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI PENTELUTE, BRADLEY LETHER · 2014 to 2018
$1.5M
NIGMS NIH HHS R01 GM110535
6 · The paper itself

Abstract

A methodology to achieve high-throughput de novo sequencing of synthetic peptide mixtures is reported. The approach leverages shotgun nanoliquid chromatography coupled with tandem mass spectrometry-based de novo sequencing of library mixtures (up to 2000 peptides) as well as automated data analysis protocols to filter away incorrect assignments, noise, and synthetic side-products. For increasing the confidence in the sequencing results, mass spectrometry-friendly library designs were developed that enabled unambiguous decoding of up to 600 peptide sequences per hour while maintaining greater than 85% sequence identification rates in most cases. The reliability of the reported decoding strategy was additionally confirmed by matching fragmentation spectra for select authentic peptides identified from library sequencing samples. The methods reported here are directly applicable to screening techniques that yield mixtures of active compounds, including particle sorting of one-bead one-compound libraries and affinity enrichment of synthetic library mixtures performed in solution.

Indexed as

Peptide LibraryAmino Acid SequenceChromatography, High Pressure LiquidCombinatorial Chemistry TechniquesMicrospheresPeptidesReproducibility of ResultsSequence Analysis, ProteinTandem Mass SpectrometryPeptide LibraryPeptidesde novo sequencingone-bead one-compound librariesshotgun nanoliquid chromatographysynthetic peptide mixturestandem mass spectrometry

Identifiers

PMID28892357
PMCPMC5818986

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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.