Evidence map›Paper›PMID 29026300›Full record

ArticleInternational journal of nanomedicine2017

Noncovalent interaction-assisted drug delivery system with highly efficient uptake and release of paclitaxel for anticancer therapy.

Yuping Wei, Liang Ma, Liang Zhang, Xia Xu

Open access · goldAbstract read
In one paragraph

Article in International journal of nanomedicine, 2017. 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
0.8field-weighted citation impact, top 31% 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, 28 citations in OpenAlex.

  1. Article
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  6. Designed Multifunctional Peptides for Intracellular Targets.Antibiotics (Basel, Switzerland) · 2022
    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

4 authors at 2 institutions in 1 country.

Yuping WeiState Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing.
Liang MaSchool of Chemistry and Chemical Engineering, Anhui University of Technology, Maanshan, Anhui, People's Republic of China.
Liang ZhangState Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing.
Xia XuSchool of Chemistry and Chemical Engineering, Anhui University of Technology, Maanshan, Anhui, People's Republic of China.
Anhui University of Technology · CNInstitute of Process Engineering · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An effective drug delivery system requires efficient drug uptake and release inside cancer cells. Here, we report a novel drug delivery system, in which paclitaxel (PTX) interacts with a novel cell penetrating peptide (CPP) through noncovalent interaction designed based on molecular simulations. This CPP/PTX complex confers high efficiency in delivering PTX into cancer cells not by endocytosis but by an energy-independent pathway. Once inside cells, the noncovalent interaction between PTX and the CPP may allow fast release of PTX within cells due to the direct translocation of CPP/PTX. This drug delivery system exhibits strong capacity for inhibition of tumor growth and offers a new avenue for the development of advanced drug delivery systems for anticancer therapy.

Indexed as

Drug Delivery SystemsDrug LiberationEndocytosisAnimalsAntineoplastic AgentsCell DeathCell-Penetrating PeptidesCell SurvivalDrug DesignFemaleHeLa CellsHeparinHumansMice, Inbred BALB CMolecular Dynamics SimulationNeoplasmsAntineoplastic AgentsCell-Penetrating PeptidesHeparinPaclitaxelanticancer therapycell penetrating peptidedrug deliverymolecular simulationspaclitaxel

Identifiers

PMID29026300
PMCPMC5626417
OpenAlexW2757816818

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.