Author

Andrejs Tučs

RIKEN;

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Organism:human· 1 Research Focus:protein design· 1 Assay:protein sequence· 1 Research Focus:sequence-to-function modeling· 1 Approach:statistical model· 1 Approach:variational autoencoder· 1

Frequent Co-Authors

Koji TsudaiD· 2 shared Adnan SljokaiD· 1 shared Amit ChakrabortyiD· 1 shared Gennady N. ChueviD· 1 shared Hiromi H UedaiD· 1 shared Marina V. FedotovaiD· 1 shared Mitsuo UmetsuiD· 1 shared Nitesh KumawatiD· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersBioinformatics

Koji TsudaORCID

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2 papers

Recent·Most cited

pLM-bVAE: protein language model-enhanced binary representation improves quantum annealing-based protein sequence design

Hiromi H Ueda, Andrejs Tučs, Koji Tsuda, Mitsuo Umetsu, Yutaka Saito

This paper introduces pLM-bVAE, a binary variational autoencoder enhanced with protein language model representations, showing improved sequence reconstruction and design performance in quantum annealing-based protein sequence design.

bioRxiv · Nov 6, 2026 · PreprintBioinformatics

Prefusion conformation of SARS-CoV-2 receptor-binding domain favors interactions with human receptor ACE2

Nitesh Kumawat, Andrejs Tučs, Soumen Bera, Gennady N. Chuev, Marina V. Fedotova, Koji Tsuda, Sergey E. Kruchinin, Adnan Sljoka, Amit Chakraborty

The paper compares the conformational changes in SARS-CoV-2 and SARS-CoV-1 spike proteins' receptor-binding domains, showing how the prefusion conformation of SARS-CoV-2 enhances interactions with hACE2.

bioRxiv · Apr 22, 2021 · PreprintBioinformatics