Evidence map›Paper›PMID 37920197›Full record

ArticleRSC advances2023

Elucidating anticancer drugs release from UiO-66 as a carrier through the computational approaches.

Tahereh Boroushaki, Mokhtar Ganjali Koli, Rahime Eshaghi Malekshah, Mohammad G Dekamin

Open access · goldAbstract read
In one paragraph

Article in RSC advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

10 citing papers in PubMed, 24 citations in OpenAlex.

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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

4 authors at 3 institutions in 1 country.

Tahereh BoroushakiPharmaceutical and Heterocyclic Compounds Research Laboratory, Department of Chemistry, Iran University of Science and Technology Tehran 16846-13114 Iran mdekamin@iust.ac.ir.
Mokhtar Ganjali KoliDepartment of Chemistry, University of Kurdistan Sanandaj Iran.
Rahime Eshaghi MalekshahDepartment of Chemistry, Faculty of Science, Semnan University Semnan Iran.
Mohammad G DekaminPharmaceutical and Heterocyclic Compounds Research Laboratory, Department of Chemistry, Iran University of Science and Technology Tehran 16846-13114 Iran mdekamin@iust.ac.ir.ORCID https://orcid.org/0000-0002-7018-7363
Iran University of Science and Technology · IRSemnan University · IRUniversity of Kurdistan · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The computational analysis of drug release from metal-organic frameworks (MOFs), specifically UiO-66, is the primary focus of this research. MOFs are recognized as nanocarriers due to their crystalline structure, porosity, and potential for added functionalities. The research examines the release patterns of three drugs: temozolomide, alendronate, and 5-fluorouracil, assessing various factors such as the drugs' distance from the UiO-66 centers, the interaction of drug functional groups with Zr metal ions, and the drug density throughout the nanocarrier. Findings reveal that 5-fluorouracil is located furthest from the UiO-66 center and exhibits the highest positive energy compared to the other drugs. Alendronate's density is observed to shift to the carrier surface, while 5-fluorouracil's density significantly decreases within the system. The drug density diminishes as the distance from the UiO-66 center of mass increases, suggesting a stronger positive interaction between the drugs and the nanocarrier. Moreover, Monte Carlo calculations were employed to load drugs onto the UiO-66 surface, leading to a substantial release of 5-fluorouracil from UiO-66. Quantum and Monte Carlo adsorption localization calculations were also conducted to gather data on the compounds' energy and geometry. This research underscores the potential of MOFs as nanocarriers for drug delivery and highlights the crucial role of temperature in regulating drug release from UiO-66. It provides insights into the complex dynamics of drug release and the factors influencing it, thereby emphasizing the promise of UiO-66 as a viable candidate for drug delivery. This work contributes to our understanding of UiO-66's role and sets the stage for improved performance optimization in the cancer treatment.

Identifiers

PMID37920197
PMCPMC10618728
OpenAlexW4388183247

What OpenQuestion holds

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LicenceCC BY-NC
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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.