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

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.

Authors

Publication Details

Journal
Science Letters
Published
2025-05-10
DOI
https://doi.org/10.24191/scl.v19i1.6355
Primary Topic
Salmonella and Campylobacter epidemiology
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Mohd Fakharul Zaman Raja Yahya, Nawal Zulkiply, Izzati Nasuha Mohd Samsidi, Anati Abd Rashid Syaida
Science Letters
Salmonella and Campylobacter epidemiology
article

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

Mohd Fakharul Zaman Raja Yahya, Nawal Zulkiply, Izzati Nasuha Mohd Samsidi, Anati Abd Rashid Syaida
article en

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.

Science LettersVol. 19(1)
Universiti Teknologi MARA
Openalex Percentile: Top 88%
Salmonella and Campylobacter epidemiology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.