Evidence map›Paper›PMID 33351791›Full record

ArticlePLoS biology2020

Design of novel granulopoietic proteins by topological rescaffolding.

Birte Hernandez Alvarez, Julia Skokowa, Murray Coles, Perihan Mir, Masoud Nasri, Kateryna Maksymenko, Laura Weidmann, Katherine W Rogers, Karl Welte, Andrei N Lupas and 2 more

Open access · goldAbstract read
In one paragraph

Article in PLoS biology, 2020. 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
1.0field-weighted citation impact, top 20% 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, 15 citations in OpenAlex.

  1. Tuning of G-CSFR signaling by de novo-designed agonists.Molecular therapy : the journal of the American Society of Gene Therapy · 2025
    Article
  2. A Complementarity-Based Approach to De Novo Binder Design.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
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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

12 authors at 2 institutions in 1 country.

Birte Hernandez AlvarezMax Planck Institute for Developmental Biology, Tübingen, Germany.ORCID 0000-0003-0635-8698
Julia SkokowaUniversity Hospital Tübingen, Division of Translational Oncology, Department of Hematology, Oncology, Clinical Immunology and Rheumatology, University Hospital Tübingen, Germany.ORCID 0000-0002-4399-2324
Murray ColesMax Planck Institute for Developmental Biology, Tübingen, Germany.ORCID 0000-0001-6716-6150
Perihan MirUniversity Hospital Tübingen, Division of Translational Oncology, Department of Hematology, Oncology, Clinical Immunology and Rheumatology, University Hospital Tübingen, Germany.ORCID 0000-0002-4015-1888
Masoud NasriUniversity Hospital Tübingen, Division of Translational Oncology, Department of Hematology, Oncology, Clinical Immunology and Rheumatology, University Hospital Tübingen, Germany.
Kateryna MaksymenkoFriedrich Miescher Laboratory of the Max Planck Society Tübingen, Germany.
Laura WeidmannMax Planck Institute for Developmental Biology, Tübingen, Germany.ORCID 0000-0001-9181-9991
Katherine W RogersFriedrich Miescher Laboratory of the Max Planck Society Tübingen, Germany.ORCID 0000-0001-5700-2662
Karl WelteUniversity Hospital Tübingen, Division of Translational Oncology, Department of Hematology, Oncology, Clinical Immunology and Rheumatology, University Hospital Tübingen, Germany.
Andrei N LupasMax Planck Institute for Developmental Biology, Tübingen, Germany.ORCID 0000-0002-1959-4836
Patrick MüllerUniversity Hospital Tübingen, Division of Translational Oncology, Department of Hematology, Oncology, Clinical Immunology and Rheumatology, University Hospital Tübingen, Germany.ORCID 0000-0002-0702-6209
Mohammad ElGamacyMax Planck Institute for Developmental Biology, Tübingen, Germany.
Max Planck Institute for Developmental Biology · DEMax Planck Society · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Computational protein design is rapidly becoming more powerful, and improving the accuracy of computational methods would greatly streamline protein engineering by eliminating the need for empirical optimization in the laboratory. In this work, we set out to design novel granulopoietic agents using a rescaffolding strategy with the goal of achieving simpler and more stable proteins. All of the 4 experimentally tested designs were folded, monomeric, and stable, while the 2 determined structures agreed with the design models within less than 2.5 Å. Despite the lack of significant topological or sequence similarity to their natural granulopoietic counterpart, 2 designs bound to the granulocyte colony-stimulating factor (G-CSF) receptor and exhibited potent, but delayed, in vitro proliferative activity in a G-CSF-dependent cell line. Interestingly, the designs also induced proliferation and differentiation of primary human hematopoietic stem cells into mature granulocytes, highlighting the utility of our approach to develop highly active therapeutic leads purely based on computational design.

Indexed as

Cell DifferentiationCells, CulturedComputational BiologyGranulocyte Colony-Stimulating FactorGranulocytesHematopoiesisHematopoietic Stem CellsHumansNeutrophilsProtein EngineeringStructure-Activity RelationshipGranulocyte Colony-Stimulating Factor

Identifiers

PMID33351791
PMCPMC7755208
OpenAlexW3116096925

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.