Publications by authors named "Fauzian Giansyah Rohmatulloh"
Coarse-grained molecular dynamics-guided immunoinformatics to explain the binder and non-binder classification of Cytotoxic T-cell epitope for SARS-CoV-2 peptide-based vaccine discovery.
Muhammad Yusuf Wanda Destiarani Wahyu Widayat Yosua Yosua Gilang Gumilar Fauzian Giansyah Rohmatulloh
PLoS One
November 2023
Epitope-based peptide vaccine can elicit T-cell immunity against SARS-CoV-2 to clear the infection. However, finding the best epitope from the whole antigen is challenging. A peptide screening using immunoinformatics usually starts from MHC-binding peptide, immunogenicity, cross-reactivity with the human proteome, to toxicity analysis.
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- LL-37 is an antimicrobial peptide that can disrupt bacterial membranes due to its unique properties, prompting interest in creating shorter, cost-effective variants with lower toxicity.
- Molecular dynamics simulations previously indicated that LL-37 penetrates membranes, and this study focused on analyzing its interactions with bacterial and eukaryotic membrane models to understand the underlying mechanisms better.
- Key findings identified specific amino acids in LL-37 that interact with bacterial membranes, offering insights that could guide the design of more effective LL-37 derivatives for antimicrobial purposes.