Evidence map›Paper›PMID 29856610›Full record

ArticleJournal of chemical information and modeling2018

Molecular Dynamics Simulations of Supramolecular Anticancer Nanotubes.

Myungshim Kang, Kaushik Chakraborty, Sharon M Loverde

Open access · greenAbstract readLetter
In one paragraph

Article in Journal of chemical information and modeling, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 36% 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

4 citing papers in PubMed, 15 citations in OpenAlex.

  1. Peptide Self-Assembled Nanocarriers for Cancer Drug Delivery.The journal of physical chemistry. B · 2023
    Review
  2. 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

3 authors at 2 institutions in 1 country.

Myungshim KangDepartment of Chemistry, College of Staten Island , The City University of New York , 2800 Victory Boulevard , Staten Island , New York 10314 , United States.ORCID 0000-0002-4778-8240
Kaushik ChakrabortyDepartment of Chemistry, College of Staten Island , The City University of New York , 2800 Victory Boulevard , Staten Island , New York 10314 , United States.
Sharon M LoverdeDepartment of Chemistry, College of Staten Island , The City University of New York , 2800 Victory Boulevard , Staten Island , New York 10314 , United States.ORCID 0000-0002-7643-6498
College of Staten Island · USThe Graduate Center, CUNY · US

Funding

Molecular Modeling of Peptide-Drug AmphiphilesR15EB020343 · NIBIB · COLLEGE OF STATEN ISLAND · PI LOVERDE, SHARON MARIE · 2016 to 2016
$477k
NIBIB NIH HHS R15 EB020343
6 · The paper itself

Abstract

We report here on long-time all-atomistic molecular dynamics simulations of functional supramolecular nanotubes composed by the self-assembly of peptide-drug amphiphiles (DAs). These DAs have been shown to possess an inherently high drug loading of the hydrophobic anticancer drug camptothecin. We probe the self-assembly mechanism from random with ∼0.4 μs molecular dynamics simulations. Furthermore, we also computationally characterize the interfacial structure, directionality of π-π stacking, and water dynamics within several peptide-drug nanotubes with diameters consistent with the reported experimental nanotube diameter. Insight gained should inform the future design of these novel anticancer drug delivery systems.

Indexed as

Molecular Dynamics SimulationAntineoplastic AgentsCamptothecinDrug CarriersHydrogen BondingHydrophobic and Hydrophilic InteractionsNanotubesPeptidesSurface-Active AgentsWaterAntineoplastic AgentsCamptothecinDrug CarriersPeptidesSurface-Active AgentsWater

Identifiers

PMID29856610
PMCPMC6261261
OpenAlexW2807297718

What OpenQuestion holds

Textmetadata
LicenceTDM
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.