ArticleMolecular & cellular proteomics : MCP2017
Database-independent Protein Sequencing (DiPS) Enables Full-length
Article in Molecular & cellular proteomics : MCP, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
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.
Who cites it
10 citing papers in PubMed, 34 citations in OpenAlex.
- Article
- A Handle on Mass Coincidence Errors inJournal of proteome research · 2024Article
- Comprehensive evaluation of peptide de novo sequencing tools for monoclonal antibody assembly.Briefings in bioinformatics · 2023Article
- Template-Based Assembly of Proteomic Short Reads ForAnalytical chemistry · 2022Review
- Mass Spectrometry-BasedJournal of proteome research · 2021Article
- ProAlanase is an Effective Alternative to Trypsin for Proteomics Applications and Disulfide Bond Mapping.Molecular & cellular proteomics : MCP · 2020Article
- Flying blind, or just flying under the radar? The underappreciated power of de novo methods of mass spectrometric peptide identification.Protein science : a publication of the Protein Society · 2020Review
- Proteomics Pipeline for Identifying Variant Proteins inJournal of proteome research · 2019Article
- 2018 YPIC Challenge: A Case Study in Characterizing an Unknown Protein Sample.Journal of proteome research · 2019Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Traditional "bottom-up" proteomic approaches use proteolytic digestion, LC-MS/MS, and database searching to elucidate peptide identities and their parent proteins. Protein sequences absent from the database cannot be identified, and even if present in the database, complete sequence coverage is rarely achieved even for the most abundant proteins in the sample. Thus, sequencing of unknown proteins such as antibodies or constituents of metaproteomes remains a challenging problem. To date, there is no available method for full-length protein sequencing, independent of a reference database, in high throughput. Here, we present Database-independent Protein Sequencing, a method for unambiguous, rapid, database-independent, full-length protein sequencing. The method is a novel combination of non-enzymatic, semi-random cleavage of the protein, LC-MS/MS analysis, peptide
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.