Author

Paul F. Long

King's College LondonORCID 0000-0001-6698-4602Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:proteomics· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:gene regulatory network inference· 1 Organism:yeast· 1

Frequent Co-Authors

Antonio StarčevićiD· 1 shared Ena MelvaniD· 1 shared Gabriel PadillaiD· 1 shared I. S. de MeloiD· 1 shared Janko DiminićiD· 1 shared Jurica ŽučkoiD· 1 shared Ranko GaćešaiD· 1 shared Raymond ChungiD· 1 shared

Activity by Year

2021-2025 · peak 1/yr

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10 top collaborators · 20 mutual co-author links

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1 shared paperSystems Biology

Antonio StarčevićORCID

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2 papers

Recent·Most cited

MicrobiologybioRxivPreprintSep 17, 2025

An Nrf2/Yap1-like bZIPprotein drives UV-induced oxidative stress response in a Sporobolomyces yeast with evolutionary conservation

Ranko Gaćeša, Raymond Chung, Suikinai Nobre Santos…·Paul F. Long

This study identifies a bZIP protein in Sporobolomyces yeast that mediates UV-induced oxidative stress response, showing evolutionary conservation with Nrf2/Yap1 pathways in animals and yeasts.

1 citation

yeastproteomics

𝕏 PostBluesky

Systems BiologybioRxivPreprintJun 4, 2021

An alignment free approach confirms semantic properties of species proteomes

Antonio Starčević, Ena Melvan, Toni Čvrljak…·Paul F. Long

The paper uses a distributional semantics method to analyze proteomes and identifies features that outperform alignment-based methods in mapping protein sequences to taxonomy.

DOI 10.1101/2021.06.04.447028

proteomicsstatistical model

𝕏 PostBluesky