Evidence map›Paper›PMID 30619925›Full record

ArticleData in brief2019

FABP4 inhibitors 3D-QSAR model and isosteric replacement of BMS309403 datasets.

Giuseppe Floresta, Agostino Cilibrizzi, Vincenzo Abbate, Ambra Spampinato, Chiara Zagni, Antonio Rescifina

Abstract read
In one paragraph

Article in Data in brief, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
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

13 citing papers in PubMed.

  1. Article
  2. Stroma AReactive Invasion Front Areas (SARIFA) proves prognostic relevance in gastric carcinoma and is based on a tumor-adipocyte interaction indicating an altered immune response.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2024
    Article
  3. Computer-Assisted Design of Peptide-Based Radiotracers.International journal of molecular sciences · 2023
    Review
  4. Article
  5. Article
  6. Article
  7. Soluble peptidoglycan fragments produced byFrontiers in molecular biosciences · 2023
    Article
  8. Article
  9. ACS infectious diseases · 2022
    Article
  10. Article
  11. Article
  12. Article
  13. 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.

Giuseppe FlorestaDepartment of Drug Sciences, University of Catania, V.le A. Doria 6, 95125 Catania, Italy.
Agostino CilibrizziInstitute of Pharmaceutical Science, King׳s College London, Stamford Street, London SE1 9NH, UK.
Vincenzo AbbateKing׳s Forensics, School of Population Health & Environmental Sciences, King׳s College London, Franklin-Wilkins Building, 150 Stamford Street, London SE1 9NH, UK.
Ambra SpampinatoDepartment of Drug Sciences, University of Catania, V.le A. Doria 6, 95125 Catania, Italy.
Chiara ZagniDepartment of Drug Sciences, University of Catania, V.le A. Doria 6, 95125 Catania, Italy.
Antonio RescifinaDepartment of Drug Sciences, University of Catania, V.le A. Doria 6, 95125 Catania, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The data have been obtained from FABP4 inhibitor molecules previously published. The 120 compounds were used to build a 3D-QSAR model. The development of the QSAR model has been undertaken with the use of Forge software using the PM3 optimized structure and the experimental IC

Identifiers

PMID30619925
PMCPMC6312796

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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.