Evidence map›Paper›PMID 28105549›Full record

ArticleJournal of the American Society for Mass Spectrometry2017

Automated Antibody De Novo Sequencing and Its Utility in Biopharmaceutical Discovery.

K Ilker Sen, Wilfred H Tang, Shruti Nayak, Yong J Kil, Marshall Bern, Berk Ozoglu, Beatrix Ueberheide, Darryl Davis, Christopher Becker

Abstract read
In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. A Handle on Mass Coincidence Errors inJournal of proteome research · 2024
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Mass Spectrometry-BasedJournal of proteome research · 2021
    Article
  14. Selectivity over coverage inChemical science · 2020
    Article
  15. Article
  16. Review
  17. Article
  18. Article
  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

9 authors.

K Ilker SenProtein Metrics Inc, 1622 San Carlos Ave, Suite C, San Carlos, CA, 94070, USA. sen@proteinmetrics.com.ORCID 0000-0003-0756-9518
Wilfred H TangProtein Metrics Inc, 1622 San Carlos Ave, Suite C, San Carlos, CA, 94070, USA.
Shruti NayakLangone Medical Center, New York University, 430 East 29th street, 8th floor room 860, New York, NY, 10016, USA.
Yong J KilProtein Metrics Inc, 1622 San Carlos Ave, Suite C, San Carlos, CA, 94070, USA.
Marshall BernProtein Metrics Inc, 1622 San Carlos Ave, Suite C, San Carlos, CA, 94070, USA.
Berk OzogluJanssen Research and Development, LLC, 1400 McKean Road, Spring House, PA, 19477, USA.
Beatrix UeberheideLangone Medical Center, New York University, 430 East 29th street, 8th floor room 860, New York, NY, 10016, USA.
Darryl DavisJanssen Research and Development, LLC, 1400 McKean Road, Spring House, PA, 19477, USA.
Christopher BeckerProtein Metrics Inc, 1622 San Carlos Ave, Suite C, San Carlos, CA, 94070, USA.

Funding

Protein Sequencing Tools for Biological TherapeuticsR42GM103362 · NIGMS · PROTEIN METRICS, LLC · PI FENYO, DAVID · 2015 to 2016
$989k
NIGMS NIH HHS R42 GM103362
6 · The paper itself

Abstract

Applications of antibody de novo sequencing in the biopharmaceutical industry range from the discovery of new antibody drug candidates to identifying reagents for research and determining the primary structure of innovator products for biosimilar development. When murine, phage display, or patient-derived monoclonal antibodies against a target of interest are available, but the cDNA or the original cell line is not, de novo protein sequencing is required to humanize and recombinantly express these antibodies, followed by in vitro and in vivo testing for functional validation. Availability of fully automated software tools for monoclonal antibody de novo sequencing enables efficient and routine analysis. Here, we present a novel method to automatically de novo sequence antibodies using mass spectrometry and the Supernovo software. The robustness of the algorithm is demonstrated through a series of stress tests. Graphical Abstract ᅟ.

Indexed as

Amino Acid SequenceAnimalsAntibodies, MonoclonalBiological ProductsDatabases, ProteinDrug DiscoveryHumansMiceSequence Analysis, ProteinTandem Mass SpectrometryAntibodies, MonoclonalBiological ProductsAntibodyByonicDe novo sequencingmAbMass spectrometrySupernovo

Identifiers

PMID28105549
PMCPMC5392168

What OpenQuestion holds

Textmetadata
LicenceTDM
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.