Evidence map›Paper›PMID 34681544›Full record

ArticleFoods (Basel, Switzerland)2021

In Silico Screening of a Bile Acid Micelle Disruption Peptide for Oral Consumptions from Edible Peptide Database.

Kento Imai, Yuri Takeuchi, Kazunori Shimizu, Hiroyuki Honda

Open access · goldAbstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 46% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 2 institutions in 1 country.

Kento ImaiDepartment of Biomolecular Engineering, Graduate School of Engineering, Nagoya University, Nagoya 464-8603, Japan.
Yuri TakeuchiDepartment of Biomolecular Engineering, Graduate School of Engineering, Nagoya University, Nagoya 464-8603, Japan.
Kazunori ShimizuDepartment of Biomolecular Engineering, Graduate School of Engineering, Nagoya University, Nagoya 464-8603, Japan.ORCID 0000-0002-9713-7016
Hiroyuki HondaDepartment of Biomolecular Engineering, Graduate School of Engineering, Nagoya University, Nagoya 464-8603, Japan.
Nagoya University · JPJapan Society for the Promotion of Science · JP

Funding

Japan Society for the Promotion of Science JP19H00837Japan Society for the Promotion of Science JP20J10655
6 · The paper itself

Abstract

Recently, many bioactive peptides have been identified using bioinformatics tools. Previously, our group developed a method to screen dual-functional peptides that have direct intestinal delivery with porous silica gel and bile acid micelle disruption. However, newly designed peptides were not found in any storage protein. Therefore, in this study, in silico screening was performed using a 350,000 edible peptide library consisting of 4- to 7-mer independent peptides. As an initial screening, all edible peptides were applied to the random forest model to select predicted positive peptides. For a second screening, the peptides were assessed for the possibility of intestinal delivery using a 3D color map. From this approach, three novel dual-functional peptides, VYVFDE, WEFIDF, and VEEFYC were identified, and all of them were derived from storage proteins (legumin, myosin, and 11S globulin). In particular, VEEFYCS, in which a serine residue (S) is added to VEEFYC, was assumed to be released by thermolysin from the 11S-globulin derived from

Indexed as

cholesterol micelleedible proteinoral administrationpeptide databasepeptide screeningporous silica gel

Identifiers

PMID34681544
PMCPMC8536064
OpenAlexW3207493709

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.