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Identification and classification of bacterial autotransporters
Butt, Hina Aslam1, Bakhtiar, Syeda Marriam2.
Bacterial Autotransporters is a huge and assorted super family of proteins present in external boundary of the gram negative bacteria. Autotransporters consists of C-terminal beta domain, N-terminal passenger domain and a pathogenic function. The beta domain of the bacterial autotransporter is associated with pathogenicity with three types of functions namely adhesions, esterase and proteases. Identification and classification of a bacterial autotransporter is important in order to target it and hinder its ability to cause disease. Identification and classification therefore has become a challenging problem due to its homology sequence. In this paper, we ought to establish a web based tool that could identify and classify bacterial autotransporters on basis of homology with already reported bacterial autotransporters. The input required for tool amino acid sequence in FASTA format. The tool will analyze the query based on similarity with already reported sequence in database and generate output with information in terms of function, organism, class, length, protein ID and symbol. Further, this user friendly and freely accessible tool is integrated with NCBI, InterPro, Pfam, pubmed. Moreover, newly detected bacterial autotransporter can be easily added in the Bacterial Autotransporter Detector tool database with authentic reference
Affiliation:
- Mohammad Ali Jinnah University, Pakistan
- Mohammad Ali Jinnah University, Pakistan
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Indexation |
Indexed by |
MyJurnal (2021) |
H-Index
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6 |
Immediacy Index
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0.000 |
Rank |
0 |
Indexed by |
Scopus 2020 |
Impact Factor
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CiteScore (1.4) |
Rank |
Q3 (Engineering (all)) |
Additional Information |
SJR (0.191) |
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