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bacteria:t3e:software [2020/09/29 10:54]
rkoebnik 		bacteria:t3e:software [2022/10/27 15:23]
rkoebnik [References]
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 ====== Software, Databases and Websites ====== ====== Software, Databases and Websites ======
  
-Based on discusisons during the International Type III Secretion Meeting in Tübingen (Germany) in April 2016, a unified nomenclature for injectisome-type type III secretion sytems was proposed in 2020 (Wagner & Diepold, 2020). This nomenclature was also advertised in the corresponding [[https://t3sswiki.science/w/index.php?title=Nomenclature_of_Type_III_Secretion_Systems|Wiki entry]]. At the same time, it was suggested to continue using the original name for T3SS chaperones and effectors. Algorithms to predict bacterial type III effectors are listed below.+Based on discusisons during the International Type III Secretion Meeting in Tübingen (Germany) in April 2016, a unified nomenclature for injectisome-type [[https://en.wikipedia.org/wiki/Type_three_secretion_system|type III secretion sytems]] was proposed in 2020 (Wagner & Diepold, 2020). This nomenclature was also advertised in the corresponding [[https://t3sswiki.science/w/index.php?title=Nomenclature_of_Type_III_Secretion_Systems|Wiki entry]]. At the same time, it was suggested to continue using the original name for T3SS chaperones and effectors. Algorithms to predict bacterial type III effectors are listed below.
  
 ^Name ^Purpose ^URL ^Reference | ^Name ^Purpose ^URL ^Reference |
-|T3SEpp |T3E prediction |[[http://www.szu-bioinf.org/T3SEpp|www.szu-bioinf.org/T3SEpp]] |Hui //et al.//, 2020  |+|Effectidor |T3E prediction |[[https://effectidor.tau.ac.il/|https://effectidor.tau.ac.il]] |Wagner //et al.//, 2022  | 
 +|DeepT3_4 |T3E prediction |[[https://github.com/jingry/autoBioSeqpy/tree/2.0/examples/T3T4|github.com/jingry/autoBioSeqpy/tree/2.0/examples/T3T4]] |Yu //et al.//, 2021  | 
 +|T3SEpp |T3E prediction |[[http://www.szu-bioinf.org/T3SEpp/|www.szu-bioinf.org/T3SEpp]] |Hui //et al.//, 2020  |
 |ACNNT3 |T3E prediction |Source code available at: [[https://github.com/Lijiesky/ACNNT3|https://github.com/Lijiesky/ACNNT3]] |Li //et al.//, 2020a  | |ACNNT3 |T3E prediction |Source code available at: [[https://github.com/Lijiesky/ACNNT3|https://github.com/Lijiesky/ACNNT3]] |Li //et al.//, 2020a  |
 |EP3 |T3E prediction |[[http://lab.malab.cn/~lijing/EP3.html|lab.malab.cn/~lijing/EP3.html]] |Li //et al.//, 2020b  | |EP3 |T3E prediction |[[http://lab.malab.cn/~lijing/EP3.html|lab.malab.cn/~lijing/EP3.html]] |Li //et al.//, 2020b  |
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 |QueTAL |Suite for the functional and phylogenetic comparison of TAL effectors |[[http://bioinfo-web.mpl.ird.fr/cgi-bin2/quetal/quetal.cgi|bioinfo-web.mpl.ird.fr/cgi-bin2/quetal/quetal.cgi]] |Pérez-Quintero //et al.//, 2015  | |QueTAL |Suite for the functional and phylogenetic comparison of TAL effectors |[[http://bioinfo-web.mpl.ird.fr/cgi-bin2/quetal/quetal.cgi|bioinfo-web.mpl.ird.fr/cgi-bin2/quetal/quetal.cgi]] |Pérez-Quintero //et al.//, 2015  |
 |HMM-LDA |T3E prediction |  |Yang & Qi, 2014 | |HMM-LDA |T3E prediction |  |Yang & Qi, 2014 |
-|Talvez |TAL effector target prediction |[[http://bioinfo.mpl.ird.fr/cgi-bin/talvez/talvez.cgi|bioinfo.mpl.ird.fr/cgi-bin/talvez/talvez.cgi]] |Pérez-Quintero //et al.//, 2013  | +|Talvez |TAL effector target prediction |[[http://bioinfo-web.mpl.ird.fr/cgi-bin2/talvez/talvez.cgi|bioinfo-web.mpl.ird.fr/cgi-bin2/talvez/talvez.cgi]] |Pérez-Quintero //et al.//, 2013  | 
-|TALgetter |TAL effector target prediction |galaxy.informatik.uni-halle.de |Grau //et al.//, 2013  |+|TALgetter |TAL effector target prediction |[[http://galaxy.informatik.uni-halle.de/|galaxy.informatik.uni-halle.de]] |Grau //et al.//, 2013  |
 |T3SPs |T3E prediction |cic.scu.edu.cn/bioinformatics/T3SPs.zip **(outdated)**   |Yang //et al.//, 2013  | |T3SPs |T3E prediction |cic.scu.edu.cn/bioinformatics/T3SPs.zip **(outdated)**   |Yang //et al.//, 2013  |
 |cSIEVE |T3E prediction |  |Hovis //et al.//, 2013  | |cSIEVE |T3E prediction |  |Hovis //et al.//, 2013  |
 |T3_MM |T3E prediction |biocomputer.bio.cuhk.edu.hk/softwares/T3_MM (R package), biocomputer.bio.cuhk.edu.hk/T3DB/T3_MM.php **(outdated)**   |Wang //et al.//, 2013  | |T3_MM |T3E prediction |biocomputer.bio.cuhk.edu.hk/softwares/T3_MM (R package), biocomputer.bio.cuhk.edu.hk/T3DB/T3_MM.php **(outdated)**   |Wang //et al.//, 2013  |
-|BEAN |T3E prediction |systbio.cau.edu.cn/bean/ |Dong //et al.//, 2013; Dong //et al.//, 2015  | +|BEAN |T3E prediction |[[http://systbio.cau.edu.cn/bean/|systbio.cau.edu.cn/bean/]] |Dong //et al.//, 2013; Dong //et al.//, 2015  | 
-|RalstoT3Edb |T3E prediction & database |iant.toulouse.inra.fr/T3E |Peeters //et al.//, 2013; Sabbagh //et al.//, 2019  |+|RalstoT3Edb |T3E prediction & database |[[http://iant.toulouse.inra.fr/T3E|iant.toulouse.inra.fr/T3E]] |Peeters //et al.//, 2013; Sabbagh //et al.//, 2019  |
 |TALE-NT |TAL effector target prediction |[[https://boglab.plp.iastate.edu|boglab.plp.iastate.edu]] |Doyle //et al.//, 2012  | |TALE-NT |TAL effector target prediction |[[https://boglab.plp.iastate.edu|boglab.plp.iastate.edu]] |Doyle //et al.//, 2012  |
 |T3DB |T3E database |biocomputer.bio.cuhk.edu.hk/T3DB/ **(outdated)**   |Wang //et al.//, 2012  | |T3DB |T3E database |biocomputer.bio.cuhk.edu.hk/T3DB/ **(outdated)**   |Wang //et al.//, 2012  |
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 |BPBAac |T3E prediction |biocomputer.bio.cuhk.edu.hk/softwares/BPBAac/ **(outdated)**   |Wang //et al.//, 2011  | |BPBAac |T3E prediction |biocomputer.bio.cuhk.edu.hk/softwares/BPBAac/ **(outdated)**   |Wang //et al.//, 2011  |
 |HMM (EPIYA motif) |T3E prediction |  |Xu //et al.//, 2010  | |HMM (EPIYA motif) |T3E prediction |  |Xu //et al.//, 2010  |
-|T3SEdb |T3E prediction & database |effectors.bic.nus.edu.sg/T3SEdb/ |Tay //et al.//, 2010  |+|T3SEdb |T3E prediction & database |effectors.bic.nus.edu.sg/T3SEdb/ **(outdated)**   |Tay //et al.//, 2010  |
 |Classifier |T3E prediction |Discriminant functions available upon request |Kampenusa & Zikmanis, 2010 | |Classifier |T3E prediction |Discriminant functions available upon request |Kampenusa & Zikmanis, 2010 |
 |Classifier |T3E prediction |Method and data available upon request |Yang //et al.//, 2010  | |Classifier |T3E prediction |Method and data available upon request |Yang //et al.//, 2010  |
 |modlab |T3E prediction |gecco.org.chemie.uni-frankfurt.de/T3SS_prediction/T3SS_prediction.html **(outdated)**   |Löwer & Schneider, 2009 | |modlab |T3E prediction |gecco.org.chemie.uni-frankfurt.de/T3SS_prediction/T3SS_prediction.html **(outdated)**   |Löwer & Schneider, 2009 |
-|EffectiveT3 |T3E prediction |www.effectors.org |Arnold //et al.//, 2009  |+|EffectiveT3 |T3E prediction |[[http://www.effectors.org|www.effectors.org]] |Arnold //et al.//, 2009  |
 |SIEVE |T3E prediction |www.sysbep.org/sieve/ **(outdated)**   |Samudrala //et al.//, 2009; McDermott //et al.//, 2011  | |SIEVE |T3E prediction |www.sysbep.org/sieve/ **(outdated)**   |Samudrala //et al.//, 2009; McDermott //et al.//, 2011  |
 +
  
 ===== References ===== ===== References =====
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 Hui X, Chen Z, Lin M, Zhang J, Hu Y, Zeng Y, Cheng X, Ou-Yang L, Sun MA, White AP, Wang Y (2020). T3SEpp: an integrated prediction pipeline for bacterial type III secreted effectors. mSystems 5: e00288-20. DOI: [[https://doi.org/10.1128/mSystems|10.1128/mSystems]] Hui X, Chen Z, Lin M, Zhang J, Hu Y, Zeng Y, Cheng X, Ou-Yang L, Sun MA, White AP, Wang Y (2020). T3SEpp: an integrated prediction pipeline for bacterial type III secreted effectors. mSystems 5: e00288-20. DOI: [[https://doi.org/10.1128/mSystems|10.1128/mSystems]]
 + <font inherit/BlinkMacSystemFont, -apple-system, ;;inherit;;rgb(33, 33, 33) color: rgb(33, 33, 33); font-family: BlinkMacSystemFont, -apple-system, "Segoe UI", Roboto, Oxygen, Ubuntu, Cantarell, "Fira Sans", "Droid Sans", "Helvetica Neue", sans-serif; font-style: normal; font-variant-caps: normal; font-weight: normal; letter-spacing: normal; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; word-spacing: 0px; -moz-text-size-adjust: auto; -webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); text-decoration: none; display: inline !important; float: none;>Jing R, Wen T, Liao C, Xue L, Liu F, Yu L, Luo J (2021). DeepT3 2.0: improving type III secreted effector predictions by an integrative deep learning framework. NAR Genom. Bioinform. 3: lqab086.</font> DOI[[https://doi.org/10.1093/nargab/lqab086|: 10.1093/nargab/lqab086]]
  
 Kampenusa I, Zikmanis P (2010). Distinguishable codon usage and amino acid composition patterns among substrates of leaderless secretory pathways from proteobacteria. Appl. Microbiol. Biotechnol. 86: 285-293. DOI: [[https://doi.org/10.1007/s00253-009-2423-8|10.1007/s00253-009-2423-8]] Kampenusa I, Zikmanis P (2010). Distinguishable codon usage and amino acid composition patterns among substrates of leaderless secretory pathways from proteobacteria. Appl. Microbiol. Biotechnol. 86: 285-293. DOI: [[https://doi.org/10.1007/s00253-009-2423-8|10.1007/s00253-009-2423-8]]
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 Teper D, Burstein D, Salomon D, Gershovitz M, Pupko T, Sessa G (2016). Identification of novel //Xanthomonas euvesicatoria// type III effector proteins by a machine-learning approach. Mol. Plant Pathol. 17: 398-411. DOI: [[https://doi.org/10.1111/mpp.12288|10.1111/mpp.12288]] Teper D, Burstein D, Salomon D, Gershovitz M, Pupko T, Sessa G (2016). Identification of novel //Xanthomonas euvesicatoria// type III effector proteins by a machine-learning approach. Mol. Plant Pathol. 17: 398-411. DOI: [[https://doi.org/10.1111/mpp.12288|10.1111/mpp.12288]]
 +
 +Wagner N, Avram O, Gold-Binshtok D, Zerah B, Teper D, Pupko T (2022). Effectidor: an automated machine-learning based web server for the prediction of type-III secretion system effectors. Bioinformatics 38: 2341-2343. DOI: [[https://doi.org/10.1093/bioinformatics/btac087|10.1093/bioinformatics/btac087]]
  
 Wagner S, Diepold A (2020). A unified nomenclature for injectisome-type type III secretion systems. Curr. Top. Microbiol. Immunol. 427: 1-10. doi: [[https://doi.org/10.1007/82_2020_210|10.1007/82_2020_210]] Wagner S, Diepold A (2020). A unified nomenclature for injectisome-type type III secretion systems. Curr. Top. Microbiol. Immunol. 427: 1-10. doi: [[https://doi.org/10.1007/82_2020_210|10.1007/82_2020_210]]
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 Yang Y, Zhao J, Morgan RL, Ma W, Jiang T (2010). Computational prediction of type III secreted proteins from gram-negative bacteria. BMC Bioinformatics 11: S47. DOI: [[https://doi.org/10.1186/1471-2105-11-S1-S47|10.1186/1471-2105-11-S1-S47]] Yang Y, Zhao J, Morgan RL, Ma W, Jiang T (2010). Computational prediction of type III secreted proteins from gram-negative bacteria. BMC Bioinformatics 11: S47. DOI: [[https://doi.org/10.1186/1471-2105-11-S1-S47|10.1186/1471-2105-11-S1-S47]]
 +
 +Yu L, Liu F, Li Y, Luo J, Jing R (2021). DeepT3_4: a hybrid deep neural network model for the distinction between bacterial type III and IV secreted effectors. Front. Microbiol. 12: 605782. DOI: [[https://doi.org/10.3389/fmicb.2021.605782|10.3389/fmicb.2021.605782]]
  
 Zalguizuri A, Caetano-Anollés G, Lepek VC (2019). Phylogenetic profiling, an untapped resource for the prediction of secreted proteins and its complementation with sequence-based classifiers in bacterial type III, IV and VI secretion systems. Brief. Bioinform. 20: 1395-1402. DOI: [[https://doi.org/10.1093/bib/bby009|10.1093/bib/bby009]] Zalguizuri A, Caetano-Anollés G, Lepek VC (2019). Phylogenetic profiling, an untapped resource for the prediction of secreted proteins and its complementation with sequence-based classifiers in bacterial type III, IV and VI secretion systems. Brief. Bioinform. 20: 1395-1402. DOI: [[https://doi.org/10.1093/bib/bby009|10.1093/bib/bby009]]
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 Noël LD, Denancé N, Szurek B (2013). Predicting promoters targeted by TAL effectors in plant genomes: from dream to reality. Front. Plant Sci. 4: 333. DOI: [[https://doi.org/10.3389/fpls.2013.00333|10.3389/fpls.2013.00333]] Noël LD, Denancé N, Szurek B (2013). Predicting promoters targeted by TAL effectors in plant genomes: from dream to reality. Front. Plant Sci. 4: 333. DOI: [[https://doi.org/10.3389/fpls.2013.00333|10.3389/fpls.2013.00333]]
  
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