Naseem S. Murshed

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

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.

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