Author

Saruar Alam

University of DhakaORCID 0000-0002-5917-8546Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Assay:proteomics· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Approach:experimental assay· 1 Assay:GWAS summary statistics· 1

Frequent Co-Authors

Md. Faruk HossainiD· 2 shared Md. Kamrul HasaniD· 2 shared Akshay V. Jadhav· 1 shared Alaji BahiD· 1 shared Albert Lawrence AdhyaiD· 1 shared Asma GulzariD· 1 shared Davoud MozhdehiiD· 1 shared Dominic J. Tigani· 1 shared

Activity by Year

2018-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersBioinformatics

Md. Faruk HossainORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

BioengineeringbioRxivPreprintApr 10, 2026

Lipoengineering of Biomolecular Condensates Controls Material Properties and Multiphase Hierarchy to Guide Organoid Morphogenesis

Zhiwei Huang, Md. Mahbub Alam, Mahtab Shokri…·Davoud Mozhdehi

This study uses lipidation to control biomolecular condensate properties and interactions, enabling the creation of multi-phase hydrogels that guide intestinal organoid morphogenesis.

DOI 10.64898/2026.04.08.717265

proteomicsexperimental assay

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BioinformaticsJournal of Advanced Biotechnology and Experimental TherapeuticsPeer-reviewedJan 1, 2019

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.

DOI 10.5455/jabet.2019.d36

plant (other)proteomics

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BioinformaticsbioRxivPreprintSep 4, 2018

Prediction of Deleterious Single Nucleotide Polymorphisms in Human p53 Gene

Saruar Alam, Mohammad Sayem, Md. Kamrul Hasan…·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.

2 citations

humanGWAS summary statistics

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