Author

Arpita Singha Roy

Noakhali Science and Technology UniversityORCID 0009-0007-6684-2330Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:differential expression· 2 Organism:human· 2 Assay:protein sequence· 2 Research Focus:drug response / drug discovery· 1 Assay:protein structure· 1

Frequent Co-Authors

Md. Shahadat HossainiD· 3 shared Md. Adnan MunimiD· 2 shared Mohammad Rahanur AlamiD· 2 shared Atqiya Fariha· 1 shared Dilara Akhter SuptiiD· 1 shared Hasan Al RezaiD· 1 shared Ibrahim Khalil AfifiD· 1 shared Ithmam HamiiD· 1 shared

Activity by Year

2020-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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3 shared papersBioinformatics

Md. Shahadat HossainORCID

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3 papers

Recent·Most cited

BioinformaticsbioRxivPreprintNov 16, 2023

A Computational Approach for Structural and Functional Analyses of Disease-associated Mutations in the Human CYLD Gene

Arpita Singha Roy, Tasmiah Feroz, Md. Kobirul Islam…·Md. Shahadat Hossain

The paper identifies deleterious nsSNPs in the CYLD gene using computational tools and highlights two significant mutations affecting CYLD-ubiquitin interaction and protein stability.

DOI 10.1101/2023.11.16.567342

humanprotein structure

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BioinformaticsScientific ReportsPeer-reviewedSep 3, 2020

In Silico Analysis Predicting Effects of Deleterious SNPs of Human RASSF5 Gene on its Structure and Functions

Md. Shahadat Hossain, Arpita Singha Roy, Md. Sajedul Islam

The paper predicts the effects of deleterious SNPs in the RASSF5 gene on protein structure and function using in silico methods.

95 citationstop 1%

humanprotein sequence

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BioinformaticsbioRxivPreprintJun 13, 2020

Multi-epitope Based Peptide Vaccine Design Using Three Structural Proteins (S, E, and M) of SARS-CoV-2: An In Silico Approach

Arpita Singha Roy, Mahafujul Islam Quadery Tonmoy, Atqiya Fariha…·Md. Shahadat Hossain

This study designs a multi-epitope peptide vaccine against SARS-CoV-2 using immunoinformatics tools, identifying three epitopes with high binding affinity and global population coverage.

3 citations

protein sequencestatistical model

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