Author

Kazuyuki Nakamura

Department of Mathematical Sciences Based on Modeling and Analysis, School of Interdisciplinary Mathematical Sciences, Meiji University, Nakano 4-21-1, Nakano-ku, Tokyo 164-8525, JapanPrimary ORCID profile (0000-0002-9128-5229 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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

Same name, identified by ORCID

Kazuyuki NakamuraiD1 paper · Meiji University

Biology Disciplines

Click to filter author papers

Biophysics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:deep learning· 1 Assay:multiome· 1 Research Focus:trajectory inference· 1 Approach:variational autoencoder· 1

Frequent Co-Authors

Sotaro FuchigamiiD· 1 shared Tsuyoshi IshizoneiD· 1 shared Yasuhiro Matsunaga· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBiophysics

Sotaro FuchigamiORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

BiophysicsbioRxivSep 13, 2023

Representation of Protein Dynamics Disentangled by Time-structure-based Prior

Tsuyoshi Ishizone, Yasuhiro Matsunaga, Sotaro Fuchigami, Kazuyuki Nakamura

The paper introduces two methods with a time-structure-based prior to disentangle protein dynamics from MD simulations, improving the representation of conformational transitions.

DOI 10.1021/acs.jctc.3c01025

multiomedeep learning

𝕏 PostBluesky