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. 2017 Sep 15;7(5):318. doi: 10.1007/s13205-017-0947-7

Table 1.

Summary of the bioinformatics tools used in the study

S. no. Name of database/tool Functional prediction Web address
1 SignalP Presence and location of signal peptide cleavage sites http://www.cbs.dtu.dk/services/SignalP/
2 TMHMM Transmembrane helices in the integral membrane proteins http://www.cbs.dtu.dk/services/TMHMM/
3 VaxiJen Prediction of protective antigens http://www.ddg-pharmfac.net/vaxijen/VaxiJen/VaxiJen.html
4 SCRATCH protein predictor: ANTIGENpro, BETAWRAP, SOLpro and ABTMpro Antigenicity, super secondary structural motif, solubility and transmembrane regions http://scratch.proteomics.ics.uci.edu/
5 NetCTL CTL epitopes prediction http://www.cbs.dtu.dk/services/NetCTL/
6 OptiTope Selection of optimal epitope set based on population coverage http://etk.informatik.uni-tuebingen.de/optitope
7 BIMAS MHC class I-binding affinity prediction https://www-bimas.cit.nih.gov/molbio/hla_bind/
8 PAComplex Infer peptide antigen family and TCR–pMHC binding model http://pacomplex.life.nctu.edu.tw/