Evidence map›Paper›PMID 36051885›Full record

ArticleComputational and structural biotechnology journal2022

Prediction and validation of host-pathogen interactions by a versatile inference approach using

Johannes Balkenhol, Elena Bencurova, Shishir K Gupta, Hella Schmidt, Thorsten Heinekamp, Axel Brakhage, Aparna Pottikkadavath, Thomas Dandekar

Abstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Johannes BalkenholDepartment of Bioinformatics, University of Würzburg, Würzburg, Germany.
Elena BencurovaDepartment of Bioinformatics, University of Würzburg, Würzburg, Germany.
Shishir K GuptaEvolutionary Genomics Group, Center for Computational and Theoretical Biology, University of Würzburg, 97078 Würzburg, Germany.
Hella SchmidtDepartment of Molecular and Applied Microbiology, Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI), 07745 Jena, Germany.
Thorsten HeinekampDepartment of Molecular and Applied Microbiology, Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI), 07745 Jena, Germany.
Axel BrakhageDepartment of Molecular and Applied Microbiology, Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI), 07745 Jena, Germany.
Aparna PottikkadavathDepartment of Structural Biology, Rudolf Virchow Center for Integrative and Translational Bioimaging, University of Würzburg, 97074 Würzburg, Germany.
Thomas DandekarDepartment of Bioinformatics, University of Würzburg, Würzburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biological networks are characterized by diverse interactions and dynamics in time and space. Many regulatory modules operate in parallel and are interconnected with each other. Some pathways are functionally known and annotated accordingly, e.g., endocytosis, migration, or cytoskeletal rearrangement. However, many interactions are not so well characterized. For reconstructing the biological complexity in cellular networks, we combine here existing experimentally confirmed and analyzed interactions with a protein-interaction inference framework using as basis experimentally confirmed interactions from other organisms. Prediction scoring includes sequence similarity, evolutionary conservation of interactions, the coexistence of interactions in the same pathway, orthology as well as structure similarity to rank and compare inferred interactions. We exemplify our inference method by studying host-pathogen interactions during infection of

Indexed as

antifungal drugsAspergillus fumigatuscomputational predictiondockinghost-pathogen interactionsligand binding assay

Identifiers

PMID36051885
PMCPMC9399266

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Registered trials

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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.