Evidence map›Paper›PMID 35497759›Full record

ArticleRSC advances2020

Dual responsive PMEEECL-PAE block copolymers: a computational self-assembly and doxorubicin uptake study.

Amin Koochaki, Mohammad Reza Moghbeli, Sousa Javan Nikkhah, Alessandro Ianiro, Remco Tuinier

Open access · goldAbstract read
In one paragraph

Article in RSC advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 44% 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

2 citing papers in PubMed, 10 citations in OpenAlex.

  1. The Martini Model in Materials Science.Advanced materials (Deerfield Beach, Fla.) · 2021
    Article
  2. Review
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

5 authors at 2 institutions in 3 countries.

Amin KoochakiSmart Polymers and Nanocomposites Research Group, School of Chemical Engineering, Iran University of Science and Technology Tehran 16846-13114 Iran mr_moghbeli@iust.ac.ir.
Mohammad Reza MoghbeliSmart Polymers and Nanocomposites Research Group, School of Chemical Engineering, Iran University of Science and Technology Tehran 16846-13114 Iran mr_moghbeli@iust.ac.ir.
Sousa Javan NikkhahSmart Polymers and Nanocomposites Research Group, School of Chemical Engineering, Iran University of Science and Technology Tehran 16846-13114 Iran mr_moghbeli@iust.ac.ir.
Alessandro IaniroLaboratory of Physical Chemistry, Department of Chemical Engineering and Chemistry, Eindhoven University of Technology P. O. Box 513 5600 MB Eindhoven The Netherlands r.tuinier@tue.nl.ORCID https://orcid.org/0000-0003-4709-4350
Remco TuinierLaboratory of Physical Chemistry, Department of Chemical Engineering and Chemistry, Eindhoven University of Technology P. O. Box 513 5600 MB Eindhoven The Netherlands r.tuinier@tue.nl.ORCID https://orcid.org/0000-0002-4096-7107
NanoComposix (United States) · USEindhoven University of Technology · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The self-assembly behaviour of dual-responsive block copolymers and their ability to solubilize the anticancer drug doxorubicin (DOX) has been investigated using all-atom molecular dynamics (MD) simulations, MARTINI coarse-grained (CG) force field simulation and Scheutjens-Fleer self-consistent field (SCF) computations. These diblock copolymers, composed of poly{γ-2-[2-(2-methoxyethoxy)ethoxy]ethoxy-ε-caprolactone} (PMEEECL) and poly(β-amino ester) (PAE) are dual-responsive: the PMEEECL block is thermoresponsive (becomes insoluble above a certain temperature), while the PAE block is pH-responsive (becomes soluble below a certain pH). Three MEEECL

Identifiers

PMID35497759
PMCPMC9048636
OpenAlexW3000741164

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.