Evidence map›Paper›PMID 26971463›Full record

ReviewCurrent opinion in biotechnology2016

Modular protein domains: an engineering approach toward functional biomaterials.

Charng-Yu Lin, Julie C Liu

Abstract readReview
In one paragraph

Review in Current opinion in biotechnology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Modular Design for Proteins Assembling into Antifouling Coatings: Case of Gold Surfaces.Langmuir : the ACS journal of surfaces and colloids · 2023
    Article
  9. Article
  10. Article
  11. Structure, self-assembly, and properties of a truncated reflectin variant.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  12. Protein-Engineered Functional Materials.Advanced healthcare materials · 2019
    Review
  13. Article
  14. 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

2 authors.

Charng-Yu LinSchool of Chemical Engineering, Purdue University, West Lafayette, IN 47907-2100, USA.
Julie C LiuSchool of Chemical Engineering, Purdue University, West Lafayette, IN 47907-2100, USA; Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN 47907-2032, USA. Electronic address: julieliu@purdue.edu.

Funding

Protein-based Cartilage Matrices to Promote Mesenchymal Stem Cell DifferentiationR03DE021755 · NIDCR · PURDUE UNIVERSITY · PI LIU, JULIE C. · 2013 to 2014
$231k
NIDCR NIH HHS R03 DE021755
6 · The paper itself

Abstract

Protein domains and peptide sequences are a powerful tool for conferring specific functions to engineered biomaterials. Protein sequences with a wide variety of functionalities, including structure, bioactivity, protein-protein interactions, and stimuli responsiveness, have been identified, and advances in molecular biology continue to pinpoint new sequences. Protein domains can be combined to make recombinant proteins with multiple functionalities. The high fidelity of the protein translation machinery results in exquisite control over the sequence of recombinant proteins and the resulting properties of protein-based materials. In this review, we discuss protein domains and peptide sequences in the context of functional protein-based materials, composite materials, and their biological applications.

Indexed as

Amino Acid SequenceAnimalsBiocompatible MaterialsCross-Linking ReagentsHumansPeptidesProtein DomainsProtein EngineeringProteinsBiocompatible MaterialsCross-Linking ReagentsPeptidesProteins

Identifiers

PMID26971463
PMCPMC4975669

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.