Author

Hongbin Yan

Brock UniversityORCID 0000-0002-9087-0493Unclaimed 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:deep learning· 1 Assay:DNA methylation· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Yifeng LiiD· 2 shared Cameron AndressiD· 1 shared Hamza Qureshi· 1 shared Kalli KappeliD· 1 shared Marcus Elbert Villena· 1 shared Maysara Al Jumaily· 1 shared Miroslava Čuperlović‐CulfiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 13 mutual co-author links

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2 shared papersBioinformatics

Yifeng LiORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintSep 20, 2026

Z-Hunt-DP: accelerating thermodynamic Z-DNA prediction with dynamic programming

Maysara Al Jumaily, Hamza Qureshi, Hongbin Yan, Yifeng Li

Z-Hunt-DP improves Z-DNA prediction by using dynamic programming to reduce computational complexity and achieve faster, more accurate results.

DOI 10.64898/2026.09.14.751448

humanDNA methylation

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BioinformaticsPLoS Computational BiologyPeer-reviewedJul 5, 2023

DAPTEV: Deep aptamer evolutionary modelling for COVID-19 drug design

Cameron Andress, Kalli Kappel, Marcus Elbert Villena…·Yifeng Li

This paper introduces DAPTEV, an AI framework for designing aptamers targeting the SARS-CoV-2 spike protein, showing it can generate structurally complex aptamers with strong binding affinities.

16 citations

deep learningdrug response / drug discovery

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