Author

Haitham Al‐Madhagi

Thamar UniversityORCID 0000-0002-3850-244XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:protein design· 1 Assay:protein structure· 1 Approach:simulation· 1

Frequent Co-Authors

Mahdi H. AlsugooriD· 1 shared Muhammad ShahabiD· 1 shared

Activity by Year

2023-2023 · peak 2/yr

Co-Author Collaboration Network

2 top collaborators · 0 mutual co-author links

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1 shared paperBioinformatics

Mahdi H. AlsugoorORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintMar 27, 2023

Generating an Efficient Arginase Variant for Medical and Industrial Uses: in Silico Engineering

Haitham Al‐Madhagi, Mahdi H. Alsugoor

The paper in silico engineers a stable arginase variant, G119L, which shows improved stability and dynamics compared to wild-type, suggesting potential for medical and industrial applications.

DOI 10.1101/2023.03.27.534378

humanprotein structure

𝕏 PostBluesky

BioinformaticsInformatics in Medicine UnlockedPeer-reviewedJan 1, 2023

Finding Consensus miRNAs Silencing KLF1 Expression as A Promising Therapeutic Option of Sickle Cell Anemia

Haitham Al‐Madhagi, Muhammad Shahab

This study identifies hsa-miR-330-5p as a key miRNA targeting KLF1 and provides a miRNA sponge design for therapeutic silencing in sickle cell anemia.

2 citations

humanstatistical model

𝕏 PostBluesky