Author

Dmitry Vetrov

Constructor UniversityORCID 0000-0001-6863-9028Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:benchmark study· 1 Research Focus:fine-mapping· 1 Assay:GWAS summary statistics· 1 Assay:protein sequence· 1 Assay:protein structure· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Andrey ShevtsoviD· 2 shared Olga L. KardymoniD· 2 shared Viacheslav Meshchaninov· 2 shared Alexey A. ShadriniD· 1 shared Anders Martin DaleiD· 1 shared Bayram Cevdet AkdeniziD· 1 shared Dmitry KropotoviD· 1 shared Eivind J. HovigiD· 1 shared

Activity by Year

2024-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersBioinformatics

Andrey ShevtsovORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

GeomMotif: A Benchmark for Arbitrary Geometric Preservation in Protein Generation

Pavel Strashnov, Andrey Shevtsov, Viacheslav Meshchaninov, Olga L. Kardymon, Dmitry Vetrov

GeomMotif evaluates protein generation models' ability to preserve arbitrary structural fragments, revealing differences in performance based on structural and physicochemical context.

bioRxiv · Apr 22, 2026 · PreprintBioinformatics

Towards Robust Evaluation of Protein Generative Models: A Systematic Analysis of Metrics

П. В. Страшнов, Andrey Shevtsov, Viacheslav Meshchaninov, Maria Ivanova, Fedor Nikolaev, Olga L. Kardymon, Dmitry Vetrov

This paper systematically evaluates metrics for protein generative models, identifying challenges and offering recommendations for robust evaluation.

bioRxiv · Oct 25, 2024 · PreprintBioinformatics

Finemap-MiXeR: A variational Bayesian approach for genetic finemapping

Bayram Cevdet Akdeniz, Oleksandr Frei, Alexey A. Shadrin, Dmitry Vetrov, Dmitry Kropotov, Eivind J. Hovig, Ole A. Andreassen, Anders Martin Dale

Finemap-MiXeR improves genetic finemapping accuracy by using a variational Bayesian approach, outperforming existing methods in synthetic and real data.

PLoS Genetics · Aug 15, 2024Peer-reviewedBioinformatics