Evidence map›Paper›PMID 22942395›Full record

ArticleProtein engineering, design & selection : PEDS2012

Improved drug-like properties of therapeutic proteins by directed evolution.

Andrew Buchanan, Franco Ferraro, Steven Rust, Sudharsan Sridharan, Ruth Franks, Greg Dean, Matthew McCourt, Lutz Jermutus, Ralph Minter

Open access · hybridAbstract read
In one paragraph

Article in Protein engineering, design & selection : PEDS, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.5field-weighted citation impact, top 11% of its field
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

7 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Article
  3. Using protein engineering to understand and modulate aggregation.Current opinion in structural biology · 2020
    Review
  4. Article
  5. Review
  6. Calorimetric Study ofJournal of analytical methods in chemistry · 2018
    Article
  7. Inducing protein aggregation by extensional flow.Proceedings of the National Academy of Sciences of the United States of America · 2017
    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

9 authors at 1 institution in 1 country.

Andrew BuchananMedImmune Research, Granta Park, Cambridge CB21 6GH, UK. buchanana@medimmune.com
Franco Ferraro
Steven Rust
Sudharsan Sridharan
Ruth Franks
Greg Dean
Matthew McCourt
Lutz Jermutus
Ralph Minter
Granta Design (United Kingdom) · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many natural human proteins have functional properties that make them useful as therapeutic drugs. However, not all these proteins are compatible with large-scale manufacturing processes or sufficiently stable to be stored for long periods prior to use. In this study, we focus on small four-helix bundle proteins and employ ribosome display in conjunction with three parallel selection pressures to favour the isolation of variant proteins with improved expression, solubility and stability. This in vitro evolution strategy was applied to two human proteins with known drug development issues, granulocyte colony-stimulating factor (G-CSF) and erythropoietin (EPO). In the case of G-CSF, the soluble expression levels in Escherichia coli were improved 1000-fold, while for EPO the level of aggregation in an accelerated shelf-life study was reduced from over 80% to undetectable levels. These results exemplify the general utility of our in vitro evolution strategy for improving the drug-like properties of therapeutic proteins.

Indexed as

AnimalsDirected Molecular EvolutionErythropoietinEscherichia coliGranulocyte Colony-Stimulating FactorHumansMiceModels, MolecularProtein StabilityRecombinant ProteinsRibosomesSolubilityErythropoietinGranulocyte Colony-Stimulating FactorRecombinant Proteins

Identifiers

PMID22942395
PMCPMC3449403
OpenAlexW2141935783

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.