Author

Md. Faruk Hossain

St. John's UniversityORCID 0000-0002-3457-7903Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Developmental Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Approach:statistical model· 2 Approach:experimental assay· 1 Assay:GWAS summary statistics· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Organism:non-human primate· 1 Organism:plant (other)· 1

Frequent Co-Authors

Md. Kamrul HasaniD· 2 shared Saruar AlamiD· 2 shared Alberto StolfiiD· 1 shared Burcu VitrineliD· 1 shared Lionel ChristiaeniD· 1 shared Mahmud Arif PaveliD· 1 shared Matteo RuggiuiD· 1 shared Mohammad SayemiD· 1 shared

Activity by Year

2018-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersBioinformatics

Md. Kamrul HasanORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

A conserved RNA switch for acetylcholine receptor clustering at neuromuscular junctions in chordates

Md. Faruk Hossain, Sydney Popsuj, Burcu Vitrinel, Nicole Kaplan, Alberto Stolfi, Lionel Christiaen, Matteo Ruggiu

The paper shows that the RNA switch for acetylcholine receptor clustering is conserved in Ciona robusta, with some structural differences in Nova and regulation by Ebf.

bioRxiv · Jul 5, 2024 · PreprintDevelopmental Biology

Analysis of Maize Profilin-4 Isoform as an allergen

Saruar Alam, Md. Kamrul Hasan, Md. Faruk Hossain

The paper analyzes the allergenic potential of maize profilin-4 isoform by examining its physicochemical properties and predicting B cell epitopes using immune-informatics tools.

Journal of Advanced Biotechnology and Experimental Therapeutics · Jan 1, 2019Peer-reviewedBioinformatics

Prediction of Deleterious Single Nucleotide Polymorphisms in Human p53 Gene

Saruar Alam, Mohammad Sayem, Md. Kamrul Hasan, Zinat Sharmin, Mahmud Arif Pavel, Md. Faruk Hossain

This paper identifies five deleterious nsSNPs in the human p53 gene using multiple computational tools and validates their potential to contribute to oncogenesis.

bioRxiv · Sep 4, 2018 · PreprintBioinformatics