Evidence map›Paper›PMID 38250405›Full record

ArticleACS omega2024

iMRSAPred: Improved Prediction of Anti-MRSA Peptides Using Physicochemical and Pairwise Contact-Energy Properties of Amino Acids.

Muhammad Arif, Ge Fang, Huma Fida, Saleh Musleh, Dong-Jun Yu, Tanvir Alam

Open access · goldAbstract read
In one paragraph

Article in ACS omega, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
9.0field-weighted citation impact, top 2% 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

15 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
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  12. Explainable Artificial Intelligence in the Field of Drug Research.Drug design, development and therapy · 2025
    Review
  13. Machine learning for predictingBioinformation · 2025
    Article
  14. Article
  15. Article
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

6 authors at 4 institutions in 4 countries.

Muhammad ArifCollege of Science and Engineering, Hamad Bin Khalifa University, Doha 34110, Qatar.
Ge FangState Key Laboratory for Organic Electronics and Information Displays, Institute of Advanced Materials (IAM), Nanjing University of Posts Telecommunications 9 Wenyuan Road, Nanjing 210023, P. R. China.
Huma FidaDepartment of Microbiology, Abdul Wali Khan University, Mardan 23200, KPK, Pakistan.
Saleh MuslehCollege of Science and Engineering, Hamad Bin Khalifa University, Doha 34110, Qatar.
Dong-Jun YuSchool of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210023, China.ORCID https://orcid.org/0000-0002-6786-8053
Tanvir AlamCollege of Science and Engineering, Hamad Bin Khalifa University, Doha 34110, Qatar.ORCID https://orcid.org/0000-0001-7033-3693
Hamad bin Khalifa University · QAAbdul Wali Khan University Mardan · PKMahidol University · THNanjing University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Methicillin-resistant

Identifiers

PMID38250405
PMCPMC10795061
OpenAlexW4390531921

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.