Author

Nikita V. Ivanisenko

Institute of Cytology and GeneticsORCID 0000-0002-0333-8117Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:protein sequence· 2 Approach:deep learning· 1 Research Focus:protein structure prediction· 1 Approach:transformer / foundation model· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Dmitriy UmerenkoviD· 2 shared Olga L. KardymoniD· 2 shared Tatiana ShashkovaiD· 2 shared П. В. СтрашновiD· 2 shared Alina V. KonstantinovaiD· 1 shared Fedor NikolaeviD· 1 shared Ivan Lebed· 1 shared Maria SindeevaiD· 1 shared

Activity by Year

2022-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersBioinformatics

Dmitriy UmerenkovORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintDec 25, 2022

PROSTATA: Protein Stability Assessment using Transformers

Dmitriy Umerenkov, Tatiana Shashkova, П. В. Страшнов…·Olga L. Kardymon

PROSTATA predicts protein stability changes from point mutations using a transformer-based model, outperforming existing neural network approaches.

7 citations

protein sequencetransformer / foundation model

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BioinformaticsFrontiers in ImmunologyPeer-reviewedSep 15, 2022

SEMA: Antigen B-cell conformational epitope prediction using deep transfer learning

Tatiana Shashkova, Dmitriy Umerenkov, Mikhail Salnikov…·Nikita V. Ivanisenko

SEMA predicts conformational B-cell epitopes using transfer learning on antigen sequences and structures, achieving ROC AUC of 0.76 on an independent test set.

83 citationstop 3%

protein sequencedeep learning

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