Evidence map›Paper›PMID 25495737›Full record

ReviewCurrent drug metabolism2014

Protein engineering: a new frontier for biological therapeutics.

Peter H Tobin, David H Richards, Randolph A Callender, Corey J Wilson

Abstract readReview
In one paragraph

Review in Current drug metabolism, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
  2. Article
  3. A Modular and Programmable Cas13d Platform for RNA Single Nucleotide Variant Detection.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  4. Article
  5. Review
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  7. Review
  8. Article
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  10. Article
  11. Review
  12. Review
  13. Targeted Mutation of a Non-catalytic Gating Residue Increases the Rate ofJournal of agricultural and food chemistry · 2023
    Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

4 authors.

Peter H Tobin
David H Richards
Randolph A Callender
Corey J WilsonDepartment of Chemical and Environmental Engineering, Yale University, New Haven, Connecticut 06520-8286, USA. corey.wilson@yale.edu.

Funding

PREDOCTORAL PROGRAM IN BIOPHYSICST32GM008283 · NIGMS · YALE UNIVERSITY · PI XIONG, YONG · 1988 to 2022
$10.5M
NIGMS NIH HHS T32 GM008283
6 · The paper itself

Abstract

Protein engineering holds the potential to transform the metabolic drug landscape through the development of smart, stimulusresponsive drug systems. Protein therapeutics are a rapidly expanding segment of Food and Drug Administration approved drugs that will improve clinical outcomes over the long run. Engineering of protein therapeutics is still in its infancy, but recent general advances in protein engineering capabilities are being leveraged to yield improved control over both pharmacokinetics and pharmacodynamics. Stimulus- responsive protein therapeutics are drugs which have been designed to be metabolized under targeted conditions. Protein engineering is being utilized to develop tailored smart therapeutics with biochemical logic. This review focuses on applications of targeted drug neutralization, stimulus-responsive engineered protein prodrugs, and emerging multicomponent smart drug systems (e.g., antibody-drug conjugates, responsive engineered zymogens, prospective biochemical logic smart drug systems, drug buffers, and network medicine applications).

Indexed as

Protein EngineeringAnimalsAntidotesBiological ProductsHumansProdrugsAntidotesBiological ProductsProdrugs

Identifiers

PMID25495737
PMCPMC4931902

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.