Mohamed Ahmed Salih Hassan

The paper identifies novel exonic mutations in LEF1 in Sudanese B-CLL patients and predicts their potential to cause splicing defects using in silico analysis.

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 Lujo virus vaccine using immunoinformatics, identifying two peptides with strong MHC binding affinity and global population coverage.

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

This paper uses immunoinformatics to predict epitopes in TCTP for a peptide vaccine against Schistosoma japonicum, identifying YEHYIGESM as a promising candidate shared between MHC I and II alleles.

This study investigates the association between IL-1RN VNTR polymorphism and gastric cancer risk in Sudanese patients, finding that the heterozygote genotype 2/L is linked to increased gastric cancer risk.

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.

This study predicts epitopes for a peptide vaccine against Aichi virus using immunoinformatic methods, identifying conserved regions and epitopes with high MHC binding affinity and global coverage.

This study identifies 20 deleterious SNPs in the SLC25A15 gene using bioinformatics tools and assesses their impact on protein structure and function.

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

The paper uses in-silico tools to analyze CDC73 SNPs and identifies 11 novel variants associated with Jaw Tumor Syndrome.

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

The paper identifies three novel missense mutations in the GPC3 gene associated with Simpson-Golabi-Behmel Syndrome using bioinformatics tools.

The paper identifies 10 deleterious SNPs and one microRNA in the DCAF17 gene that may affect protein structure and function in Woodhouse-Sakati Syndrome through in silico analysis.

The paper performs a bioinformatics analysis of L1CAM gene mutations to identify novel pathological variants associated with L1 syndrome and their potential diagnostic applications.

The paper identifies 20 novel deleterious SNPs in the IDH3A gene associated with Retinitis Pigmentosa using bioinformatics tools.

The paper identifies 8 novel SNPs in the CD40LG gene using bioinformatics tools and suggests they may be diagnostic markers for hyper-IgM syndrome.

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

The paper identifies two novel deleterious mutations in the XK gene using in silico analysis, suggesting their potential as diagnostic markers for McLeod syndrome.

The paper identifies five novel damaging nsSNPs in the IL2RG gene using computational tools and predicts their potential impact on gene function and expression.

The paper identifies two novel deleterious mutations in the PRSS1 gene using in silico analysis of SNPs.

This study analyzes RB1 gene mutations in Sudanese retinoblastoma patients, finding no exon 18 mutations but identifying potential deleterious SNPs globally.

The paper identifies five novel nsSNPs in the CEBPA gene associated with AML using computational methods and suggests their potential as diagnostic markers.

The paper designs a peptide vaccine against Madurella mycetomatis TCTP using immunoinformatics tools, identifying epitopes that bind to MHC I and II alleles with high population coverage.

The paper identifies 41 deleterious SNPs in the IKBKAP gene through in silico analysis, prioritizing them for further genetic studies on Familial dysautonomia.