Evidence map›Paper›PMID 36985701›Full record

ArticleMolecules (Basel, Switzerland)2023

Steered Molecular Dynamics Simulations Study on FABP4 Inhibitors.

Rosario Tomarchio, Vincenzo Patamia, Chiara Zagni, Letizia Crocetti, Agostino Cilibrizzi, Giuseppe Floresta, Antonio Rescifina

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
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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

7 authors.

Rosario TomarchioDepartment of Drug and Health Sciences, University of Catania, Viale A. Doria 6, 95125 Catania, Italy.
Vincenzo PatamiaDepartment of Drug and Health Sciences, University of Catania, Viale A. Doria 6, 95125 Catania, Italy.ORCID 0000-0002-0048-2631
Chiara ZagniDepartment of Drug and Health Sciences, University of Catania, Viale A. Doria 6, 95125 Catania, Italy.ORCID 0000-0003-1220-4281
Letizia CrocettiDepartment Neurofarba, Pharmaceutical and Nutraceutical Section, via Ugo Schiff 6, 50019 Sesto Fiorentino, Italy.ORCID 0000-0003-3473-2683
Agostino CilibrizziInstitute of Pharmaceutical Science, King's College London, Stamford Street, London SE1 9NH, UK.ORCID 0000-0002-9711-5183
Giuseppe FlorestaDepartment of Drug and Health Sciences, University of Catania, Viale A. Doria 6, 95125 Catania, Italy.ORCID 0000-0002-0668-1260
Antonio RescifinaDepartment of Drug and Health Sciences, University of Catania, Viale A. Doria 6, 95125 Catania, Italy.ORCID 0000-0001-5039-2151

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ordinary small molecule de novo drug design is time-consuming and expensive. Recently, computational tools were employed and proved their efficacy in accelerating the overall drug design process. Molecular dynamics (MD) simulations and a derivative of MD, steered molecular dynamics (SMD), turned out to be promising rational drug design tools. In this paper, we report the first application of SMD to evaluate the binding properties of small molecules toward FABP4, considering our recent interest in inhibiting fatty acid binding protein 4 (FABP4). FABP4 inhibitors (FABP4is) are small molecules of therapeutic interest, and ongoing clinical studies indicate that they are promising for treating cancer and other diseases such as metabolic syndrome and diabetes.

Indexed as

Metabolic SyndromeMolecular Dynamics SimulationDrug DesignFatty Acid-Binding ProteinsHumansFABP4 protein, humanFatty Acid-Binding Proteinscomputer-aided drug designdrug designFABP4FABP4 inhibitorsfatty acid binding proteinmolecular modelingsteered molecular dynamics

Identifiers

PMID36985701
PMCPMC10058326

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Registered trials

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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.