Author

Md Muhaiminul Islam Nafi

Bangladesh University of Engineering and TechnologyORCID 0009-0007-6383-9427Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 2 Assay:protein sequence· 2 Research Focus:differential expression· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Mohammad Saifur RahmaniD· 2 shared Quazi Farah Nawar· 1 shared Tasnim Nishat IslamiD· 1 shared

Activity by Year

2024-2024 · peak 2/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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2 shared papersBioinformatics

Mohammad Saifur RahmanORCID

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2 papers

Recent·Most cited

BioinformaticsBioinformatics AdvancesPeer-reviewedDec 26, 2024

StackGlyEmbed: Prediction of N-linked Glycosylation sites using protein language models

Md Muhaiminul Islam Nafi, Mohammad Saifur Rahman

StackGlyEmbed predicts N-linked glycosylation sites using a stacking ensemble model, achieving high performance metrics and outperforming existing methods.

1 citation

protein sequencemachine learning (classical)

𝕏 PostBluesky

BioinformaticsbioRxivPreprintFeb 9, 2024

Prediction of protein-carbohydrate binding sites from protein primary sequence

Md Muhaiminul Islam Nafi, Quazi Farah Nawar, Tasnim Nishat Islam, Mohammad Saifur Rahman

This paper introduces StackCBEmbed, a machine learning model that predicts protein-carbohydrate binding interactions from primary sequence, achieving better performance than existing methods.

1 citation

protein sequencemachine learning (classical)

𝕏 PostBluesky