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Protein structure model predictions for secreted fungal proteins

Name: Protein structure model predictions for secreted fungal proteins
Keywords: protein structure prediction, arbuscular mycorrhiza fungi, Glomeromycotina, fungal plant pathogens, Rhizophagus irregularis, AlphaFold2

Research datakeyboard_double_arrow_right Dataset 15 Dec 2022 English Publisher:ZenodoFunded by:EC | ACHILLES-HEEL

Authors: Teulet, Albin; Schornack, Sebastian;

doi: 10.5281/zenodo.7443325 , 10.5281/zenodo.7443324

Protein structure model predictions for secreted fungal proteins

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Abstract

Dataset A - Alphafold2 prediction output data for 753 secreted proteins of Rhizophagus irregularis DAOM197198. Gene IDs are taken from the annotation by Yildirir et al. 2021, doi.org/10.1111/nph.17842 Dataset B - Alphafold2 prediction output data for 10 fungal effectors. These are nine effectors from Fusarium oxysporum f. sp. lycopersici and RiSLM from Rhizophagus irregularis as well as their amino acid sequences. Signal peptides and sequences preceding a predicted Kex2 processing site were removed. Dataset C - Alphafold2 prediction output data for 454 matches of a MycFOLD-HMM search across the Mycocosm genome database (https://mycocosm.jgi.doe.gov/mycocosm/home) and 36 Glomeromycotina fungal genomes.

This work was funded by the Gatsby Charitable Foundation (GAT3395/GLD), the Royal Society (UF160413) and by an ERC Starting Grant (637537).

Related Organizations

University of Cambridge
United Kingdom
Sainsbury Laboratory
United Kingdom
THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE
United Kingdom

Keywords

protein structure prediction, arbuscular mycorrhiza fungi, Glomeromycotina, fungal plant pathogens, Rhizophagus irregularis, AlphaFold2

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