Evidence map›Paper›PMID 36145362›Full record

ArticlePharmaceuticals (Basel, Switzerland)2022

In Silico Prediction of Anti-Infective and Cell-Penetrating Peptides from

Gabrielle Lupeti De Cena, Bruna Vitória Scavassa, Katia Conceição

Open access · goldAbstract read
In one paragraph

Article in Pharmaceuticals (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

12 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
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  6. Review
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  9. Insight into Protein Engineering: FromCurrent pharmaceutical design · 2025
    Review
  10. Article
  11. Article
  12. 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

3 authors at 1 institution in 1 country.

Gabrielle Lupeti De CenaLaboratory of Peptide Biochemistry, Universidade Federal de São Paulo (UNIFESP), São José dos Campos 12231-280, Brazil.
Bruna Vitória ScavassaLaboratory of Peptide Biochemistry, Universidade Federal de São Paulo (UNIFESP), São José dos Campos 12231-280, Brazil.
Katia ConceiçãoLaboratory of Peptide Biochemistry, Universidade Federal de São Paulo (UNIFESP), São José dos Campos 12231-280, Brazil.
Universidade Federal de São Paulo · BR

Funding

São Paulo Research Foundation 2021/04316-9
6 · The paper itself

Abstract

The therapeutic potential of venom-derived peptides, such as bioactive peptides (BAPs), is determined by specificity, stability, and pharmacokinetics properties. BAPs, including anti-infective or antimicrobial peptides (AMPs) and cell-penetrating peptides (CPPs), share several physicochemical characteristics and are potential alternatives to antibiotic-based therapies and drug delivery systems, respectively. This study used in silico methods to predict AMPs and CPPs derived from natterins from the venomous fish

Indexed as

ADMETantimicrobial peptidesbioactive peptidescell-penetrating peptideshydrophobicityin silico prediction

Identifiers

PMID36145362
PMCPMC9501638
OpenAlexW4296005698

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.