Author

Tadakimi Tomita

Albert Einstein College of MedicineORCID 0000-0001-8809-3333Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Microbiology· 2

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Assay:proteomics· 2 Approach:contrastive learning· 1 Approach:deep learning· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:protein folding & dynamics· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Elizabeth WeyeriD· 2 shared Jennifer T. AguilaniD· 2 shared Louis M. WeissiD· 2 shared Simone SidoliiD· 2 shared András FiseriD· 1 shared Bing HaniD· 1 shared Carlos Madrid-Aliste· 1 shared Prithviraj NandigramiiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 40 mutual co-author links

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2 shared papersMicrobiology

Elizabeth WeyerORCID

Mutual co-authors in cluster

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2 papers

Recent·Most cited

XL-MS-Guided Structure Prediction of Disordered Encephalitozoon hellem Proteins

Elizabeth Weyer, Yongliang Wang, Tadakimi Tomita, Carlos Madrid-Aliste, Prithviraj Nandigrami, András Fiser, Simone Sidoli, Jennifer T. Aguilan, Bing Han, Louis M. Weiss

The paper develops a structure prediction method using XL-MS data for disordered microsporidian proteins with no homologs, successfully modeling two spore wall proteins.

bioRxiv · Jun 12, 2026 · PreprintMicrobiology

Mapping a Toxoplasma gondii interactome by crosslinking mass spectrometry and machine learning

Tadakimi Tomita, Elizabeth Weyer, Rebekah B. Guevara, Simone Sidoli, Jennifer T. Aguilan, Louis M. Weiss

This study maps the Toxoplasma gondii interactome using crosslinking mass spectrometry and machine learning, identifying 405 PPIs with high confidence and validating their biological relevance.

mBio · Aug 28, 2025Peer-reviewedMicrobiology