Author

Md Nur Ahad Shah

Shahjalal University of Science and TechnologyORCID 0000-0001-6548-1501Unclaimed 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:statistical model· 2 Approach:deep learning· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Research Focus:protein structure prediction· 1 Assay:proteomics· 1 Organism:virus· 1

Frequent Co-Authors

Fumie Uno-Ono· 1 shared Harry Wilton-ClarkiD· 1 shared Jamie LeckieiD· 1 shared Katsuhiko KunitakeiD· 1 shared Kosuke Matsui· 1 shared Md Kawsar KhaniD· 1 shared Md Tangigul Haque· 1 shared Payal BaruaiD· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Fumie Uno-Ono

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintAug 25, 2026

eSkip2 prioritizes exon-skipping antisense oligonucleotide target regions across exon--intron contexts

Shuntaro Chiba, Katsuhiko Kunitake, Satomi Shirakaki…·Yasushi Okuno

eSkip2 identifies effective exon-skipping ASO target regions by integrating genomic context and splicing perturbations, outperforming exon-restricted models in prioritizing active regions.

DOI 10.64898/2026.05.05.722571

humanDNA methylation

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BioinformaticsInformatics in Medicine UnlockedPeer-reviewedJan 1, 2020

Zika viral proteome analysis reveals an epitope cluster within NS3 helicase as a potential vaccine candidate: an in silico study

Md Tangigul Haque, Md Nur Ahad Shah, Shatabdi Paul…·Payal Barua

This study identifies a potential Zika virus vaccine candidate through immunoinformatics analysis of the viral proteome, predicting an epitope cluster with broad population coverage.

5 citations

virusproteomics

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