Evidence map›Paper›PMID 37143168›Full record

ReviewBiomaterials research2023

Application of molecular dynamics simulation in self-assembled cancer nanomedicine.

Xueli Xu, Ao Liu, Shuangqing Liu, Yanling Ma, Xinyu Zhang, Meng Zhang, Jinhua Zhao, Shuo Sun, Xiao Sun

Abstract readReview
In one paragraph

Review in Biomaterials research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
  2. Review
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  4. Review
  5. Article
  6. Investigation of Novel Antiproliferative Drugs Interaction with mPEGJournal of chemical information and modeling · 2026
    Article
  7. Article
  8. Progressive Backmapping of Highly Coarse-Grained Protein Models.bioRxiv : the preprint server for biology · 2026
    Article
  9. Review
  10. Review
  11. Review
  12. Article
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  16. Article
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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

9 authors.

Xueli Xu *School of Science, Shandong Jianzhu University, Jinan, 250101, China.
Ao Liu *School of Science, Shandong Jianzhu University, Jinan, 250101, China.
Shuangqing LiuSchool of Chemistry and Pharmaceutical Engineering, Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, 250000, China.
Yanling MaSchool of Chemistry and Pharmaceutical Engineering, Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, 250000, China.
Xinyu ZhangSchool of Chemistry and Pharmaceutical Engineering, Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, 250000, China.
Meng ZhangSchool of Chemistry and Pharmaceutical Engineering, Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, 250000, China.
Jinhua ZhaoSchool of Science, Shandong Jianzhu University, Jinan, 250101, China.
Shuo SunDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, 02115, USA.
Xiao SunSchool of Chemistry and Pharmaceutical Engineering, Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, 250000, China. sunxiao@sdfmu.edu.cn.ORCID http://orcid.org/0000-0001-6506-1574

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Self-assembled nanomedicine holds great potential in cancer theragnostic. The structures and dynamics of nanomedicine can be affected by a variety of non-covalent interactions, so it is essential to ensure the self-assembly process at atomic level. Molecular dynamics (MD) simulation is a key technology to link microcosm and macroscale. Along with the rapid development of computational power and simulation methods, scientists could simulate the specific process of intermolecular interactions. Thus, some experimental observations could be explained at microscopic level and the nanomedicine synthesis process would have traces to follow. This review not only outlines the concept, basic principle, and the parameter setting of MD simulation, but also highlights the recent progress in MD simulation for self-assembled cancer nanomedicine. In addition, the physicochemical parameters of self-assembly structure and interaction between various assembled molecules under MD simulation are also discussed. Therefore, this review will help advanced and novice researchers to quickly zoom in on fundamental information and gather some thought-provoking ideas to advance this subfield of self-assembled cancer nanomedicine.

Indexed as

Cancer NanotheranosticsMD simulationNanomedicineSelf-assembly

Identifiers

PMID37143168
PMCPMC10161522

What OpenQuestion holds

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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.