Evidence map›Paper›PMID 31932836›Full record

ArticleSoft matter2020

Molecular recognition with soft biomaterials.

John R Clegg, Nicholas A Peppas

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Soft matter, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Integration of Adenylate Kinase 1 with Its Peptide Conformational Imprint.International journal of molecular sciences · 2022
    Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Review
  12. Article
  13. 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

2 authors.

John R CleggDepartment of Biomedical Engineering, The University of Texas at Austin, 107 W Dean Keeton Street Stop C0800, Austin, TX 78712, USA. peppas@che.utexas.edu.ORCID http://orcid.org/0000-0002-7244-3041
Nicholas A PeppasDepartment of Biomedical Engineering, The University of Texas at Austin, 107 W Dean Keeton Street Stop C0800, Austin, TX 78712, USA. peppas@che.utexas.edu and McKetta Department of Chemical Engineering, The University of Texas at Austin, 200 E. Dean Keeton St. Stop C0400, Austin, TX 78712, USA and Institute for Biomaterials, Drug Delivery, and Regenerative Medicine, The University of Texas at Austin, 107 W Dean Keeton Street Stop C0800, Austin, TX 78712, USA and Division of Molecular Pharmaceutics and Drug Delivery, College of Pharmacy, The University of Texas at Austin, 2409 University Ave. Stop A1900, Austin, TX 78712, USA and Department of Surgery and Perioperative Care, Dell Medical School, 1601 Trinity St., Bldg. B, Stop Z0800, Austin, TX 78712, USA and Department of Pediatrics, Dell Medical School, 1400 Barbara Jordan Blvd., Austin, TX 7872, USA.ORCID http://orcid.org/0000-0003-0894-5626

Funding

Sensor arrays based on molecularly imprinted polymers for diagnosis of Sjogren's syndromeR01EB022025 · NIBIB · UNIVERSITY OF TEXAS AT AUSTIN · PI ANSLYN, ERIC V., PEPPAS, NICHOLAS A · 2016 to 2019
$1.5M
NIBIB NIH HHS R01 EB022025
6 · The paper itself

Abstract

Biomacromolecules and engineered materials can achieve molecular recognition if they engage their ligand with properly oriented and chemically complementary moieties. Recently, there has been significant interest in fabricating recognitive soft materials, which possess specific affinity for biological analytes. We present a summary and evaluation of current recognitive materials for biosensing, drug delivery, and regenerative medicine applications. We highlight the impact of material composition on the extent and specificity of ligand adsorption, citing new theoretical and empirical evidence. We conclude with a guide for synthesizing and characterizing novel recognitive materials, as well as recommendations for ligand selection and experimental design.

Indexed as

Biosensing TechniquesDrug Delivery SystemsAdsorptionBiocompatible MaterialsHumansLigandsMolecular StructurePolymersRegenerative MedicineBiocompatible MaterialsLigandsPolymers

Identifiers

PMID31932836
PMCPMC8588763

What OpenQuestion holds

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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.