Author

Ria Vinod

Brown UniversityORCID 0000-0002-6282-9741Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:statistical model· 2 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Assay:metagenomics· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1 Assay:proteomics· 1

Frequent Co-Authors

Ava P. AminiiD· 2 shared Kevin YangiD· 2 shared Lorin A. CrawfordiD· 2 shared Samir ChariD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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2 shared papersBioinformatics

Ava P. AminiORCID

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2 papers

Recent·Most cited

Protein language models and the long tail of functional diversity

Ria Vinod, Samir Char, Ava P. Amini, Lorin A. Crawford, Kevin Yang

The paper examines the role of singleton protein sequences in training protein language models, finding they contain valuable functional diversity and should be included in training.

bioRxiv · Aug 18, 2026 · PreprintBioinformatics

Trainable subnetworks reveal insights into structure knowledge organization in protein language models

Ria Vinod, Ava P. Amini, Lorin A. Crawford, Kevin Yang

This study introduces trainable subnetworks to analyze how protein language models factorize structural information and shows that structure prediction is sensitive to these factorized representations.

PLoS Computational Biology · Feb 9, 2026Peer-reviewedBioinformatics