Fatima A. Abdelrhman

The paper predicts B- and T-cell epitopes from the Fba1 protein of Candida glabrata using in silico tools to design an epitope-based vaccine.

This study predicts epitope-based peptides for a Nipah virus glycoprotein G vaccine using immunoinformatics tools and docking, identifying FLIDRINWI as a promising candidate.

The paper identifies four damaging SNPs in the GM2A gene, three of which are novel, and predicts their impact on protein structure and function, potentially contributing to AB variant of GM2 gangliosidosis.

This study identifies 42 novel non-synonymous SNPs in the HEXB gene potentially linked to Sandhoff disease using bioinformatics analysis.

The paper predicts 35 novel nsSNPs in ADAMTS13 that may cause TTP using bioinformatics tools.

The paper identifies 23 novel deleterious nsSNPs in the MEFV gene using bioinformatics tools, which may serve as diagnostic markers for Familial Mediterranean Fever.

This study computationally analyzes nsSNPs in the TAL1 gene to predict their impact on protein function and identify potential miRNA binding site alterations.