Author

Donna Lee Kuehu

University of Hawaiʻi at MānoaORCID 0000-0003-1367-8366Unclaimed 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· 2 Organism:virus· 2 Assay:whole-genome sequencing· 2 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:proteomics· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Karim RahimianiD· 3 shared Mohammadamin MahmanzariD· 3 shared Youping DengiD· 3 shared Amin FarhadiiD· 2 shared Bahar MahdaviiD· 2 shared Mahsa Mollapour SisakhtiD· 2 shared Samaneh TokhanbigliiD· 2 shared Amir GholamzadiD· 1 shared

Activity by Year

2022-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

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3 shared papersBioinformatics

Karim RahimianORCID

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3 papers

Recent·Most cited

BioinformaticsNAR Genomics and BioinformaticsPeer-reviewedMar 29, 2023

SARS2Mutant: SARS-CoV-2 Amino-Acid Mutation Atlas Database

Karim Rahimian, Ehsan Arefian, Bahar Mahdavi…·Youping Deng

SARS2Mutant is a database that provides analysis of SARS-CoV-2 amino-acid mutations to aid in vaccine and drug development.

12 citations

virusproteomics

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BioinformaticsbioRxivPreprintJul 22, 2022

SARS-CoV-2 Non-Structural Protein 1(NSP1) Mutation Virulence and Natural Selection: Evolutionary Trends in the Six Continents

Samira Salami Ghaleh, Karim Rahimian, Mohammadamin Mahmanzar…·Youping Deng

This study analyzes NSP1 mutations across global SARS-CoV-2 sequences, identifying E87D as a significant mutation linked to protein flexibility and stability changes.

DOI 10.1101/2022.07.22.501212

humanwhole-genome sequencing

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BioinformaticsbioRxivPreprintJul 18, 2022

The First Geographic Identification by Country of Sustainable Mutations of SARS-COV-2 Sequence Samples: Worldwide Natural Selection Trends

Mohammadamin Mahmanzar, Seyed Taleb Houseini, Karim Rahimian…·Youping Deng

The paper analyzes SARS-CoV-2 mutations from 10.5 million sequences to identify stable mutations and their geographic distribution, providing insights for vaccine and diagnostic development.

2 citations

viruswhole-genome sequencing

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