Author

Alina V. Konstantinova

AIRI - Artificial Intelligence Research InstituteORCID 0000-0003-4192-9126Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Synthetic Biology· 1

Signature Assays, Organisms & Methods

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Assay:protein sequence· 2 Approach:deep learning· 1 Approach:experimental assay· 1 Research Focus:protein structure prediction· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Ajasja LjubetičiD· 1 shared Dmitriy UmerenkoviD· 1 shared Eva RajhiD· 1 shared Federico OlivieriiD· 1 shared Ivan Lebed· 1 shared Kiyan Abel· 1 shared Marina N. AsatryaniD· 1 shared Mikhail Salnikov· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperSynthetic Biology

Ajasja LjubetičORCID

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2 papers

Recent·Most cited

Synthetic BiologybioRxivPreprintJun 26, 2026

Prosculpt: Lowering the Barrier to Computational Protein Design

Federico Olivieri, Alina V. Konstantinova, Neža Ribnikar…·Ajasja Ljubetič

Prosculpt is a protein design pipeline that simplifies the use of multiple tools for protein design, enabling users to perform complex tasks without coding.

2 citations

protein sequenceexperimental assay

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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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