Mujahed I. Mustafa

The paper designs a multi-epitope peptide vaccine targeting Bombali Ebolavirus VP40 using immunoinformatics and molecular docking, identifying epitopes with high MHC affinity and population coverage.

This study identifies three high-risk pathogenic nsSNPs in the TP53 gene associated with Li-Fraumeni syndrome using in silico analysis of functional and structural consequences.

The paper analyzes nsSNPs in the ATL1 gene using bioinformatics tools to identify five deleterious mutations potentially linked to SPG3A and their implications for pharmacogenomics.

The paper identifies 13 novel deleterious mutations in the B3GALTL gene associated with Peters-plus syndrome using in silico analysis.

The paper identifies 11 nsSNPs in the ARX gene that may cause EIEE1 by analyzing their functional and structural impacts using in silico tools.

This study designs a multi-epitope peptide vaccine against the E protein of SARS-CoV-2 using immunoinformatics, identifying ten peptides with high population coverage for potential vaccine development.

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 study identifies six novel missense SNPs in the MAOA gene associated with aggressive behavior using bioinformatics analysis.

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 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 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 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 identifies eleven novel pathogenic nsSNPs in the STAT3 gene associated with Job's syndrome using in silico analysis of SNPs from dbSNP/NCBI.

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

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