Evidence map›Paper›PMID 21941539›Full record

ArticleAdvances in bioinformatics2011

Computational Design of a DNA- and Fc-Binding Fusion Protein.

Jonas Winkler, Giuliano Armano, J Nikolaj Dybowski, Oliver Kuhn, Filippo Ledda, Dominik Heider

Abstract read
In one paragraph

Article in Advances in bioinformatics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Jonas WinklerDepartment of Bioinformatics, Center for Medical Biotechnology, University of Duisburg-Essen, Universitaetsstra β e 1-5, 45117 Essen, Germany.
Giuliano Armano
J Nikolaj Dybowski
Oliver Kuhn
Filippo Ledda
Dominik Heider

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Computational design of novel proteins with well-defined functions is an ongoing topic in computational biology. In this work, we generated and optimized a new synthetic fusion protein using an evolutionary approach. The optimization was guided by directed evolution based on hydrophobicity scores, molecular weight, and secondary structure predictions. Several methods were used to refine the models built from the resulting sequences. We have successfully combined two unrelated naturally occurring binding sites, the immunoglobin Fc-binding site of the Z domain and the DNA-binding motif of MyoD bHLH, into a novel stable protein.

Identifiers

PMID21941539
PMCPMC3173724

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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.