Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 257

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Cell‐Free Protein Synthesis: Pros and Cons of Prokaryotic and Eukaryotic Systems

Open access
Zemella, Anne, Thoring, Lena, Hoffmeister, Christian, Kubick, Stefan·2015·ChemBioChem

Abstract

From its start as a small‐scale in vitro system to study fundamental translation processes, cell‐free protein synthesis quickly rose to become a potent platform for the high‐yield production of proteins. In contrast to classical in vivo protein expression, cell‐free systems do not need time‐consuming cloning steps, and the open nature provides easy manipulation of reaction conditions as well as high‐throughput potential. Especially for the synthesis of difficult to express proteins, such as toxic and transmembrane proteins, cell‐free systems are of enormous interest. The modification of the genetic code to incorporate non‐canonical amino acids into the target protein in particular provides enormous potential in biotechnology and pharmaceutical research and is in the focus of many cell‐free projects. Many sophisticated cell‐free systems for manifold applications have been established. This review describes the recent advances in cell‐free protein synthesis and details the expanding applications in this field.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/cbic.201500340

Cites

4 of 4 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 4 references

Cited by

See all 257

Metadata

Authors
Zemella, A., Thoring, L., Hoffmeister, C., & Kubick, S.
Venue
ChemBioChem
Publisher
Wiley
Published
2015-10-19
Volume
16
Issue
17
Pages
2420-2431
ISSN
  • 1439-4227 (ISSN-L)
  • 1439-7633
OpenAlex
W2098623212
Cited by
257
References
4
FWCI
6.69
Type
journal article
Language
en
Open access
hybrid

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Cell‐Free Protein Synthesis: Pros and Cons of Prokaryotic and Eukaryotic Systems. https://app.cochat.ai/papers/10.1002/cbic.201500340
The paper
Zemella, A., Thoring, L., Hoffmeister, C., & Kubick, S. (2015). Cell‐Free Protein Synthesis: Pros and Cons of Prokaryotic and Eukaryotic Systems. ChemBioChem. https://doi.org/10.1002/cbic.201500340

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.