Author

Alison Butler

University of California, Santa BarbaraORCID 0000-0002-3525-7864Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Biochemistry· 1 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Organism:bacteria (other)· 2 Research Focus:database / resource· 1 Approach:deep learning· 1 Assay:metagenomics· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Marnix H. MedemaiD· 2 shared Zachary L. ReitziD· 2 shared Bita PourmohseniniD· 1 shared Daniel Roth· 1 shared Emil ThomseniD· 1 shared Melanie SusmaniD· 1 shared Nadine ZiemertiD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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2 shared papersBiochemistry

Marnix H. MedemaORCID

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2 papers

Recent·Most cited

BiochemistryeLifePeer-reviewedMar 9, 2026

Automated genome mining predicts structural diversity and taxonomic distribution of peptide metallophores across bacteria

Zachary L. Reitz, Bita Pourmohsenin, Melanie Susman…·Marnix H. Medema

The paper introduces an automated method to detect non-ribosomal peptide metallophore biosynthesis gene clusters in bacterial genomes, revealing widespread metallophore production and chemical diversity.

1 citation

bacteria (other)whole-genome sequencing

𝕏 PostBluesky

BioinformaticsbioRxivPreprintDec 14, 2022

Automated genome mining predicts combinatorial diversity and taxonomic distribution of peptide metallophore structures

Zachary L. Reitz, Alison Butler, Marnix H. Medema

The paper introduces an automated method to identify non-ribosomal peptide metallophore biosynthesis gene clusters in bacterial genomes, revealing widespread occurrence and untapped diversity.

7 citations

bacteria (other)metagenomics

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