Author

Grigory Reznikov

Utrecht UniversityORCID 0000-0003-2959-2831Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Developmental Biology· 1

Signature Assays, Organisms & Methods

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Assay:proteomics· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Pavel G. SinitcyniD· 2 shared Albert J. R. HeckiD· 1 shared Fabrice Kusters· 1 shared Francine R. IaniskiiD· 1 shared Gestur VidarssoniD· 1 shared Henk van den ToorniD· 1 shared Majid MohammadiiD· 1 shared Remco VisseriD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersDevelopmental Biology

Pavel G. SinitcynORCID

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2 papers

Recent·Most cited

Developmental BiologybioRxivPreprintOct 6, 2026

Disentangling maternal pregnancy and fetal-specific plasma signatures through integrated proteomics and site-specific N-glycoproteomics

Shelley Jager, Sofia Kalaidopoulou Nteak, Grigory Reznikov…·Albert J. R. Heck

The paper identifies pregnancy-specific and fetal-specific plasma proteomic and N-glycoproteomic signatures by comparing maternal, cord blood, and non-pregnant control samples.

DOI 10.64898/2026.10.05.756652

humanproteomics

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BioinformaticsJournal of Proteome ResearchPeer-reviewedAug 18, 2026

Protein Language Model Decoys for Target Decoy Competition in Proteomics: Quality Assessment and Benchmarks

Grigory Reznikov, Fabrice Kusters, Majid Mohammadi…·Pavel G. Sinitcyn

This paper introduces a protein language model-based decoy generation method for proteomics and benchmarks it against classical decoy strategies, finding it less distinguishable by neural networks but not superior in search performance.

DOI 10.1021/acs.jproteome.6c00302

proteomicsdeep learning

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