In Silico Identification of Essential Transmembrane Proteins in Salmonella typhimurium as Potential Drug and Vaccine Targets

Authors

  • Izzati Nasuha Mohd Samsidi Faculty of Applied Sciences, Universiti Teknologi MARA (UiTM), 40450 Shah Alam, Selangor, Malaysia
  • Nawal Zulkiply Faculty of Applied Sciences, Universiti Teknologi MARA (UiTM), 40450 Shah Alam, Selangor, Malaysia
  • Anati Abd Rashid Syaida Faculty of Applied Sciences, Universiti Teknologi MARA (UiTM), 40450 Shah Alam, Selangor, Malaysia
  • Mohd Fakharul Zaman Raja Yahya Faculty of Applied Sciences, Universiti Teknologi MARA (UiTM), 40450 Shah Alam, Selangor, Malaysia; Integrative Pharmacogenomics Institute (iPROMISE), 42300 Bandar Puncak Alam, Selangor, Malaysia

DOI:

https://doi.org/10.24191/scl.v19i1.6355

Keywords:

Drug targets, In silico, Salmonella, Transmembrane protein

Abstract

Salmonella sp. is a globally prevalent organism responsible for causing salmonellosis, a foodborne illness. Salmonella typhimurium is a strain of Salmonella sp. that is not associated with typhoid fever but can cause gastrointestinal inflammation and severe infection. Despite advancements in genomic and proteomic technologies, several proteins identified in S. typhimurium remain uncharacterized. Thus, the objective of the present study was to characterise the transmembrane proteins of S. typhimurium that could serve as potential drug and vaccine targets. In this study, 150 uncharacterized proteins from S. typhimurium were randomly selected from UniProtKB and analysed using PSORTb V3.0.3 and TMHMM. Identified
transmembrane proteins were further analyzed using DEG, BLASTp, ProtParam, ScanProsite, STRING 12.0, and VaxiJen 2.0. The results indicated that 32 uncharacterized proteins (21%) were predicted to be transmembrane proteins involved in various biological pathways. Among these transmembrane proteins, protein A0A2J0RKS1 was predicted to be essential, antigenic, and non-host homologous, suggesting its potential as a drug and vaccine target for combating salmonellosis. This study underscores the potential of computational biology in drug target discovery, particularly against pathogens like S. typhimurium.

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Published

2025-05-10

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