Author

Aleksandr Alekseevich Smirnov

University of North Carolina at CharlotteORCID 0000-0002-4886-6853Unclaimed 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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Research Focus:database / resource· 2 Organism:human· 2 Research Focus:benchmarking· 1 Approach:machine learning (classical)· 1 Assay:metabolomics· 1 Assay:metagenomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Xiuxia DuiD· 2 shared Aaron FaitiD· 1 shared Adolfo AmézquitaiD· 1 shared Alexander A. AksenoviD· 1 shared Alexey V. MelnikiD· 1 shared Alisdair Robert FernieiD· 1 shared Amina BouslimaniiD· 1 shared Andrea G. Albarracín OrioiD· 1 shared

Activity by Year

2020-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBiochemistry

Xiuxia DuORCID

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2 papers

Recent·Most cited

Constructing a consensus serum metabolome

Yuanye Chi, Joshua M. Mitchell, Maheshwor Thapa, Shujian Zheng, Zackary Frohock, Liang Li, Aleksandr Alekseevich Smirnov, Xiuxia Du, Shuzhao Li

The paper constructs a consensus serum metabolome from over 100,000 mass spectrometry acquisitions, revealing gaps in current databases and improving LC-MS metabolomics annotation.

bioRxiv · May 7, 2025 · 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