Evidence map›Paper›PMID 31664704›Full record

ReviewMolecular biotechnology2019

Design of Experiments As a Tool for Optimization in Recombinant Protein Biotechnology: From Constructs to Crystals.

Christos Papaneophytou

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular biotechnology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. 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

1 author.

Christos PapaneophytouDepartment of Life and Health Sciences, School of Sciences and Engineering, University of Nicosia, 46 Makedonitissas Ave., 2417, Nicosia, Cyprus. papaneophytou.c@unic.ac.cy.ORCID http://orcid.org/0000-0002-4045-8839

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this review, the basic concepts and applications of design of experiments (DoE) in recombinant protein biotechnology will be discussed. The production of recombinant proteins usually begins with the construction of an expression vector that is then introduced into a microbial host. The target protein is overexpressed in the host's cells and subsequently, it is isolated using a suitable purification method, its activity is assessed using a biological assay, while its crystallization is often required. Because each protein is unique and due to the complex interactions among the reagents in experiments, it is impossible that one set of reaction conditions would be optimal for all cases. Optimization of experimental conditions is usually carried out by the inefficient one-factor-at-a-time approach that does not take into account the combined effects of factors on a process. On the other hand, DoE approaches with a carefully selected small set of experiments, and therefore with a reduced cost and in a limited amount of time predict the effect of each factor and the effects of their interactions on a process. Importantly, several software packages are available that facilitate the choice of the DoE approach, design of the experiments, and analysis of the results.

Indexed as

Analysis of VarianceBiotechnologyCrystallography, X-RayGene ExpressionGenetic VectorsModels, TheoreticalRecombinant ProteinsResearch DesignSoftwareRecombinant ProteinsDesign of experimentsOptimizationRecombinant proteinsResponse surface methodology

Identifiers

What OpenQuestion holds

Textmetadata
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.