Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. 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.
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
16 authors.
Giovanni SchiesaroNovo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kongens Lyngby 2800, Denmark.ORCID 0000-0002-6309-4337
Melani MariscalDepartamento de Genética, Campus de Excelencia Internacional Agroalimentario, Universidad de Córdoba, Córdoba 14014, Spain.ORCID 0000-0001-9179-1001
Mathias JönssonNovo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kongens Lyngby 2800, Denmark.ORCID 0000-0003-1168-5589
Ricardo TenenteNovo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen DL-2200, Denmark.ORCID 0000-0002-7970-278X
Mathies Brinks SørensenDepartment of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby 2800, Denmark.ORCID 0000-0002-4215-0512
Marcus WäneskogNovo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kongens Lyngby 2800, Denmark.ORCID 0000-0003-2480-5631
María Victoria Aguilar-PontesDepartamento de Genética, Campus de Excelencia Internacional Agroalimentario, Universidad de Córdoba, Córdoba 14014, Spain.ORCID 0000-0002-3174-8834
Agustina UndabarrenaNovo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kongens Lyngby 2800, Denmark.
Marcus DeichmannNovo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kongens Lyngby 2800, Denmark.ORCID 0000-0003-3540-0576
Emma E Hoch-SchneiderNovo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kongens Lyngby 2800, Denmark.
Viji KandasamyNovo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kongens Lyngby 2800, Denmark.ORCID 0000-0001-7211-8233
Thomas M FrimurerNovo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen DL-2200, Denmark.
Antonio Di PietroDepartamento de Genética, Campus de Excelencia Internacional Agroalimentario, Universidad de Córdoba, Córdoba 14014, Spain.ORCID 0000-0001-5930-5763
Line Katrine Harder ClemmensenDepartment of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby 2800, Denmark.
Michael Krogh JensenNovo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kongens Lyngby 2800, Denmark.
Emil Damgaard JensenNovo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kongens Lyngby 2800, Denmark.ORCID 0000-0002-8280-0946
Fungi are essential members across ecosystems, yet phytopathogenic fungi pose an increasing risk to crop yields. Despite their ecologic importance, cell-cell communication in fungi is underexplored, partly due to the lack of high-throughput techniques. Here, we developed a Yeast Mating Platform (YeMaP) to investigate the interaction between fungal G protein-coupled receptors (GPCRs) and pheromone peptides. We used YeMaP for high-throughput screening of 8,000 pheromone sequences and identified peptides with improved agonism or antagonism action. We found that these peptides can be applied in a native fungal system such as the plant pathogen
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.
A yeast mating platform for multiplex screening of fungal GPCR-ligand interactions. · full record | OpenQuestion