Evidence map›Paper›PMID 11967378›Full record

ArticleProtein science : a publication of the Protein Society2002

Development of a cytokine analog with enhanced stability using computational ultrahigh throughput screening.

Peizhi Luo, Robert J Hayes, Cheryl Chan, Diane M Stark, Marian Y Hwang, Jonathan M Jacinto, Padmaja Juvvadi, Helen S Chung, Anirban Kundu, Marie L Ary and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Protein science : a publication of the Protein Society, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.6field-weighted citation impact, top 8% 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

16 citing papers in PubMed, 56 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Computational approaches for predicting mutant protein stability.Journal of computer-aided molecular design · 2016
    Review
  7. Improved drug-like properties of therapeutic proteins by directed evolution.Protein engineering, design & selection : PEDS · 2012
    Article
  8. Computational approaches for rational design of proteins with novel functionalities.Computational and structural biotechnology journal · 2012
    Review
  9. Article
  10. Bioinformatic method for protein thermal stabilization by structural entropy optimization.Proceedings of the National Academy of Sciences of the United States of America · 2008
    Article
  11. Modulation of protein aggregation by polyethylene glycol conjugation: GCSF as a case study.Protein science : a publication of the Protein Society · 2006
    Article
  12. Article
  13. Article
  14. Computational thermostabilization of an enzyme.Science (New York, N.Y.) · 2005
    Article
  15. Article
  16. Combining computational and experimental screening for rapid optimization of protein properties.Proceedings of the National Academy of Sciences of the United States of America · 2002
    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

11 authors at 1 institution in 1 country.

Peizhi LuoXencor, Inc., 111 W. Lemon Avenue, Monrovia, CA 91016, USA.
Robert J Hayes
Cheryl Chan
Diane M Stark
Marian Y Hwang
Jonathan M Jacinto
Padmaja Juvvadi
Helen S Chung
Anirban Kundu
Marie L Ary
Bassil I Dahiyat
Xencor (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Granulocyte-colony stimulating factor (G-CSF) is used worldwide to prevent neutropenia caused by high-dose chemotherapy. It has limited stability, strict formulation and storage requirements, and because of poor oral absorption must be administered by injection (typically daily). Thus, there is significant interest in developing analogs with improved pharmacological properties. We used our ultrahigh throughput computational screening method to improve the physicochemical characteristics of G-CSF. Improving these properties can make a molecule more robust, enhance its shelf life, or make it more amenable to alternate delivery systems and formulations. It can also affect clinically important features such as pharmacokinetics. Residues in the buried core were selected for optimization to minimize changes to the surface, thereby maintaining the active site and limiting the designed protein's potential for antigenicity. Using a structure that was homology modeled from bovine G-CSF, core designs of 25-34 residues were completed, corresponding to 10(21)-10(28) sequences screened. The optimal sequence from each design was selected for biophysical characterization and experimental testing; each had 10-14 mutations. The designed proteins showed enhanced thermal stabilities of up to 13 degrees C, displayed five-to 10-fold improvements in shelf life, and were biologically active in cell proliferation assays and in a neutropenic mouse model. Pharmacokinetic studies in monkeys showed that subcutaneous injection of the designed analogs results in greater systemic exposure, probably attributable to improved absorption from the subcutaneous compartment. These results show that our computational method can be used to develop improved pharmaceuticals and illustrate its utility as a powerful protein design tool.

Indexed as

Protein EngineeringAmino Acid SequenceAnimalsCattleGranulocyte Colony-Stimulating FactorHot TemperatureHumansMiceModels, MolecularMolecular Sequence DataMutationGranulocyte Colony-Stimulating Factor

Identifiers

PMID11967378
PMCPMC2373568
OpenAlexW2058144643

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.