Evidence map›Paper›PMID 24039300›Full record

ArticlePolymer2013

Investigating the Release of a Hydrophobic Peptide from Matrices of Biodegradable Polymers: An Integrated Method Approach.

Anna V Gubskaya, I John Khan, Loreto M Valenzuela, Yuriy V Lisnyak, Joachim Kohn

Open access · bronzeAbstract read
In one paragraph

Article in Polymer, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

3 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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 3 institutions in 2 countries.

Anna V GubskayaNew Jersey Center for Biomaterials, Rutgers, The State University of New Jersey, Piscataway, NJ 08854-8087, USA.
I John Khan
Loreto M Valenzuela
Yuriy V Lisnyak
Joachim Kohn
Rutgers, The State University of New Jersey · USMechnikov Institute of Microbiology and ImmunologyPontificia Universidad Católica de Chile · CL

Funding

TRANSCRIPTIONAL PROFILINGP30CA072720 · NCI · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI Chang S Chan · 1997 to 2026
$94.5M
RESBIO - the Technology Resource for Polymeric BiomaterialsP41EB001046 · NIBIB · RUTGERS THE ST UNIV OF NJ NEW BRUNSWICK · PI KOHN, JOACHIM B. · 2003 to 2017
$17.0M
NCI NIH HHS P30 CA072720NIBIB NIH HHS P41 EB001046
6 · The paper itself

Abstract

The objectives of this work were: (1) to select suitable compositions of tyrosine-derived polycarbonates for controlled delivery of voclosporin, a potent drug candidate to treat ocular diseases, (2) to establish a structure-function relationship between key molecular characteristics of biodegradable polymer matrices and drug release kinetics, and (3) to identify factors contributing in the rate of drug release. For the first time, the experimental study of polymeric drug release was accompanied by a hierarchical sequence of three computational methods. First, suitable polymer compositions used in subsequent neural network modeling were determined by means of response surface methodology (RSM). Second, accurate artificial neural network (ANN) models were built to predict drug release profiles for fifteen polymers located outside the initial design space. Finally, thermodynamic properties and hydrogen-bonding patterns of model drug-polymer complexes were studied using molecular dynamics (MD) technique to elucidate a role of specific interactions in drug release mechanism. This research presents further development of methodological approaches to meet challenges in the design of polymeric drug delivery systems.

Indexed as

computational modelinghydrogen bondinghydrophobic peptidepolymeric drug releasestructure-function relationship

Identifiers

PMID24039300
PMCPMC3770487
OpenAlexW2064386474

What OpenQuestion holds

Textmetadata
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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.