# ABPCaps: A Novel Capsule Network-Based Method for the Prediction of Antibacterial Peptides
## 1 Introduction
\begin{table}
\begin{tabular}{l l l l l l} \hline
**Vears** & **Tools/Authors** & **Used Features** & **Target** & **Method** & **URL** \\ \hline
2022 & AM/Predictor & AAC, CPC, PA, PIPC & ABPs, APVs, APVs, APVs, TMC & GBUT & [[https://arni.cuhk.edu.cn/](https://arni.cuhk.edu.cn/)]([https://arni.cuhk.edu.cn/](https://arni.cuhk.edu.cn/))\textasciitif/public/public (accessed on 7 January 2022) \\
2022 & Stella-EPJpred & Profile devices and amino & ABPs & baiLSTM and attention mechanism & [[https://stable-epjpred.avsl.app](https://stable-epjpred.avsl.app)]([https://stable-epjpred.avsl.app](https://stable-epjpred.avsl.app)) (accessed on 1 January 2022) \\
2022 & [PERSON] et al. & Periodic sources & APVs & BEF & Not available \\
2021 & Deep-ArJpred & Peptide request features and amino & ABPs & baiLSTM, SVM, RF & [[https://epjpred.avsl.app/](https://epjpred.avsl.app/)]([https://epjpred.avsl.app/](https://epjpred.avsl.app/)) (accessed on 31 March 2021) \\  & & AAC, CPC, CSSAP, PAAC, & APVs & RF & [[http://arni.cuhk.edu.cn/](http://arni.cuhk.edu.cn/)]([http://arni.cuhk.edu.cn/](http://arni.cuhk.edu.cn/))\textasciitif/ACT/ (accessed on 19 July 2021) \\  & & PIPC & PSRXAC reduced amino acids & AMPs & DL & [[https://app.cbbio.com/ampper/home](https://app.cbbio.com/ampper/home)]([https://app.cbbio.com/ampper/home](https://app.cbbio.com/ampper/home)) (accessed on 5 June 2020) \\
2020 & Compo, Compact, Extreme & ACTs & SVM & [[https://webs.iall.edu.in/nrgha/article/](https://webs.iall.edu.in/nrgha/article/)]([https://webs.iall.edu.in/nrgha/article/](https://webs.iall.edu.in/nrgha/article/)) (accessed on 6 August 2020) \\  & & & & & \\
2020 & AM/Furn & Binary profiling of amino acids & ABPs, APVs, APVs, TMC & CART, RF, SVM & [[http://blab.boi.neu.edu.cn/](http://blab.boi.neu.edu.cn/)]([http://blab.boi.neu.edu.cn/](http://blab.boi.neu.edu.cn/))\textasciitif/index.html (accessed on 1 May 2020) \\  & & positive, AAC, PHPC & BAPTs & AMPs & RF & [[http://biso.grann.bouch.uni.wroc.pl/](http://biso.grann.bouch.uni.wroc.pl/)]([http://biso.grann.bouch.uni.wroc.pl/](http://biso.grann.bouch.uni.wroc.pl/))\textasciitif/ (accessed on 17 June 2020) \\
2020 & Am/Gam & Bartlett programs & AMPs & RF & [[http://biso.grann.bouch.uni.wroc.pl/](http://biso.grann.bouch.uni.wroc.pl/)]([http://biso.grann.bouch.uni.wroc.pl/](http://biso.grann.bouch.uni.wroc.pl/))\textasciitif/ (accessed on 24 March 2018) \\
2018 & AM/FEC & Peptide Sequence & AMPs & DL & [[https://www.cdkir.com/acan/](https://www.cdkir.com/acan/)]([https://www.cdkir.com/acan/](https://www.cdkir.com/acan/)) (accessed on 26 January 2018) \\  & & AAC, PA, C, CTD & AMPs & RF & [[https://app.cbbio.com/ampper/home](https://app.cbbio.com/ampper/home)]([https://app.cbbio.com/ampper/home](https://app.cbbio.com/ampper/home)) (accessed on 26 January 2018) \\
2021 & Ai/MPpred & Compo/postpost & Network/ & AMPs, APVs & SVM & [[http://cabgrid.nes.in/](http://cabgrid.nes.in/)]([http://cabgrid.nes.in/](http://cabgrid.nes.in/))\textasciitif/ (accessed on 13 February 2017) \\  & & Spuseppe-chemical features & Sequence composition, & & & \\
2016 & CAMF R3 & physicochemical properties, & AMPs & SVM, RF, ANN & [[http://www.camp.blci.in/](http://www.camp.blci.in/)]([http://www.camp.blci.in/](http://www.camp.blci.in/))\textasciitif/ (accessed on 4 January 2016) \\  & & & amino acids & & \\
2022 & ClassAMF & 257 sequence features & ABPs, APVs, APVs & SVM, RF & [[http://www.bicin.wres.in/classamp/](http://www.bicin.wres.in/classamp/)]([http://www.bicin.wres.in/classamp/](http://www.bicin.wres.in/classamp/)) (accessed on 26 June 2012) \\ \hline \end{tabular}
\end{table} 
Table 1: Related works on predicting AMPs. This table provides a comparison of different methods used for AMP prediction, including their model architectures, features used, and evaluation metrics. With the unprecedented growth of data generated by high-throughput sequencing technologies, the field of bioinformatics has become flooded with massive amounts of data, waiting to be analyzed to reveal the underlying principles [31; 32; 33; 34; 35; 36; 37].