Author

Biplab Poudel

University of MissouriORCID 0009-0006-8636-1449Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:contrastive learning· 1 Approach:deep learning· 1 Assay:imaging· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Dong He XuiD· 2 shared Ashwin DhakaliD· 1 shared Duolin WangiD· 1 shared Farzaneh EsmailiiD· 1 shared Jianlin Jack ChengiD· 1 shared Jin CheniD· 1 shared Mahdi PourmirzaeiiD· 1 shared Negin ManshouriD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersBioinformatics

Dong He XuORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintSep 19, 2025

CryoFSL: an annotation-efficient, few-shot learning framework for robust protein particle picking in cryo-EM micrographs

Biplab Poudel, Rajan Gyawali, Ashwin Dhakal…·Dong He Xu

CryoFSL improves protein particle picking in cryo-EM micrographs with minimal annotations, achieving high accuracy and efficiency in low-SNR conditions.

2 citations

imagingdeep learning

𝕏 PostBluesky

BioinformaticsAdvanced SciencePeer-reviewedDec 12, 2024

S-PLM: Structure-aware Protein Language Model via Contrastive Learning between Sequence and Structure

Duolin Wang, Mahdi Pourmirzaei, Usman L. Abbas…·Dong He Xu

S-PLM improves protein language models by integrating 3D structure information through contrastive learning, outperforming sequence-only models in clustering and classification tasks.

46 citationstop 2%

protein sequencecontrastive learning

𝕏 PostBluesky