Author

Kathleen Dorrestein

University of California San Diego

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Biochemistry· 1 Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:database / resource· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:metabolomics· 1 Assay:metagenomics· 1 Organism:multiple species· 1

Frequent Co-Authors

Mingxun WangiD· 2 shared Mónica GumáiD· 2 shared Pieter C. DorresteiniD· 2 shared Rob D. KnightiD· 2 shared Aaron FaitiD· 1 shared Abubaker PataniD· 1 shared Adolfo AmézquitaiD· 1 shared Adrián JinichiD· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBiochemistry

Mingxun WangORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Alkamines reveal a hidden layer of steroid and drug metabolism

Julius Agongo, Subshaskar R Panga, Shipei Xing, Vincent Charron‐Lamoureux, Harsha Gouda, Yasin El Abiead, Megan R. Nelson, Abubaker Patan, Marvic Carrillo Terrazas, Kine Eide Kvitne, Jeong In Seo, Prajit Rajkumar, Sadie Giddings, Helena Mannochio-Russo, Jasmine Zemlin, , Pieter C. Dorrestein

The paper identifies alkamines as a previously hidden class of metabolites formed via reductive amination, revealing significant gaps in metabolomics and drug metabolism understanding.

bioRxiv · May 15, 2026 · PreprintBiochemistry

Algorithmic Learning for Auto-deconvolution of GC-MS Data to Enable Molecular Networking within GNPS.

Alexander A. Aksenov, Ivan Laponogov, Zheng Zhang, Sophie L. F. Doran, Ilaria Belluomo, Dennis A. Veselkov, Wout Bittremieux, Louis-Félix Nothias-Scaglia, Mélissa Nothias-Esposito, Katherine N. Maloney, Biswapriya B. Misra, Alexey V. Melnik, Aleksandr Alekseevich Smirnov, Xiuxia Du, Kenneth Lyons Jones, , Kirill Veselkov

The paper develops a machine learning workflow for auto-deconvolution of GC-MS data within GNPS, enabling molecular networking and applications in breathomics and volatilome mapping.

Nature Biotechnology · Nov 9, 2020Peer-reviewedBioinformatics