Author

Md. Romzan Alom

Green University of Bangladesh

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1 Organism:virus· 1

Frequent Co-Authors

Arittra BhattacharjeeiD· 1 shared Asma RahmaniD· 1 shared Ishtiaque AhammadiD· 1 shared M. SalimullahiD· 1 shared Marjia Akter Suchi· 1 shared Mohammad Nazmus SakibiD· 1 shared Mohammad Uzzal HossainiD· 1 shared Muhammad Aminur Rahman· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Arittra BhattacharjeeORCID

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1 paper

Recent·Most cited

APDeeM: A machine Learning strategy towards Effective Peptide Vaccine Candidates Identification against Different Types of Viruses

Mohammad Uzzal Hossain, Md. Romzan Alom, SM Sajid Hasan, Mohammad Nazmus Sakib, Marjia Akter Suchi, Zeba Sanjida, Asma Rahman, Arittra Bhattacharjee, Zeshan Mahmud Chowdhury, Ishtiaque Ahammad, Muhammad Aminur Rahman, Saiful Azad, M. Salimullah

The paper introduces APDeeM, an ensemble machine learning system for identifying antiviral peptide candidates, achieving high accuracy and efficiency compared to existing methods.

bioRxiv · Aug 25, 2025 · PreprintBioinformatics