Evidence map›Paper›PMID 35521240›Full record

ArticleRSC advances2020

Evaluation of the site-unspecified peptide identification method for proteolytic peptide mapping.

H B Wang, F Zeng, Y Y Wang, X Li, S H, Y M Li, Y F Wang, Y H Liu, F P Lu

Open access · goldAbstract read

In one paragraph

Article in RSC advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact, top 90% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 1 institution in 2 countries.

H B WangKey Laboratory of Industrial Fermentation Microbiology, Ministry of Education, Tianjin Key Laboratory of Industrial Microbiology, National Engineering Laboratory for Industrial Enzymes, The College of Biotechnology, Tianjin University of Science and Technology Tianjin 300457 P. R. China lfp@tust.edu.cn lyh@tust.edu.cn.

F ZengKey Laboratory of Industrial Fermentation Microbiology, Ministry of Education, Tianjin Key Laboratory of Industrial Microbiology, National Engineering Laboratory for Industrial Enzymes, The College of Biotechnology, Tianjin University of Science and Technology Tianjin 300457 P. R. China lfp@tust.edu.cn lyh@tust.edu.cn.

Y Y WangKey Laboratory of Industrial Fermentation Microbiology, Ministry of Education, Tianjin Key Laboratory of Industrial Microbiology, National Engineering Laboratory for Industrial Enzymes, The College of Biotechnology, Tianjin University of Science and Technology Tianjin 300457 P. R. China lfp@tust.edu.cn lyh@tust.edu.cn.

X LiKey Laboratory of Industrial Fermentation Microbiology, Ministry of Education, Tianjin Key Laboratory of Industrial Microbiology, National Engineering Laboratory for Industrial Enzymes, The College of Biotechnology, Tianjin University of Science and Technology Tianjin 300457 P. R. China lfp@tust.edu.cn lyh@tust.edu.cn.

S HKey Laboratory of Industrial Fermentation Microbiology, Ministry of Education, Tianjin Key Laboratory of Industrial Microbiology, National Engineering Laboratory for Industrial Enzymes, The College of Biotechnology, Tianjin University of Science and Technology Tianjin 300457 P. R. China lfp@tust.edu.cn lyh@tust.edu.cn.

Y M LiKey Laboratory of Industrial Fermentation Microbiology, Ministry of Education, Tianjin Key Laboratory of Industrial Microbiology, National Engineering Laboratory for Industrial Enzymes, The College of Biotechnology, Tianjin University of Science and Technology Tianjin 300457 P. R. China lfp@tust.edu.cn lyh@tust.edu.cn.

Y F WangKey Laboratory of Industrial Fermentation Microbiology, Ministry of Education, Tianjin Key Laboratory of Industrial Microbiology, National Engineering Laboratory for Industrial Enzymes, The College of Biotechnology, Tianjin University of Science and Technology Tianjin 300457 P. R. China lfp@tust.edu.cn lyh@tust.edu.cn.

Y H LiuKey Laboratory of Industrial Fermentation Microbiology, Ministry of Education, Tianjin Key Laboratory of Industrial Microbiology, National Engineering Laboratory for Industrial Enzymes, The College of Biotechnology, Tianjin University of Science and Technology Tianjin 300457 P. R. China lfp@tust.edu.cn lyh@tust.edu.cn.

F P LuKey Laboratory of Industrial Fermentation Microbiology, Ministry of Education, Tianjin Key Laboratory of Industrial Microbiology, National Engineering Laboratory for Industrial Enzymes, The College of Biotechnology, Tianjin University of Science and Technology Tianjin 300457 P. R. China lfp@tust.edu.cn lyh@tust.edu.cn.ORCID https://orcid.org/0000-0003-4253-0045

Tianjin University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proteases are widely used in the food industry to hydrolyze proteins and prepare bioactive peptides. Peptide mapping identification supports the application of proteases in the food industry. The site-specified peptide identification method, which was developed for site-specific proteases like trypsin, is relatively mature and reliable but cannot be applied using most industrial proteases with weak site specificity. To address this issue, the performance and reliability of the site-unspecified peptide identification method should be investigated and evaluated. In this study, tryptic hydrolysates of a single protein and a protein mixture were used to evaluate the site-unspecified identification method. The species origin of the hydrolyzed proteins was not specified in a database search, meaning that millions of protein sequences were included for calculating and matching. At least 98% of the tryptic peptides were successfully identified

Identifiers

PMID35521240

DOI10.1039/d0ra04226a

PMCPMC9057140

OpenAlexW3091949872

What OpenQuestion holds

Textmetadata

LicenceCC BY-NC

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.