Pupko T - Search Results

1

Revealing the inventory of type III effectors in Pantoea agglomerans gall-forming pathovars using draft genome sequences and a machine-learning approach.

Nissan G, Gershovits M, Morozov M, Chalupowicz L, Sessa G, Manulis-Sasson S, Barash I, Pupko T. Nissan G, et al. Among authors: pupko t. Mol Plant Pathol. 2018 Feb;19(2):381-392. doi: 10.1111/mpp.12528. Epub 2017 Feb 16. Mol Plant Pathol. 2018. PMID: 28019708 Free PMC article.

2

Revealing bacterial targets of growth inhibitors encoded by bacteriophage T7.

Molshanski-Mor S, Yosef I, Kiro R, Edgar R, Manor M, Gershovits M, Laserson M, Pupko T, Qimron U. Molshanski-Mor S, et al. Among authors: pupko t. Proc Natl Acad Sci U S A. 2014 Dec 30;111(52):18715-20. doi: 10.1073/pnas.1413271112. Epub 2014 Dec 15. Proc Natl Acad Sci U S A. 2014. PMID: 25512533 Free PMC article.

3

Novel type III effectors in Pseudomonas aeruginosa.

Burstein D, Satanower S, Simovitch M, Belnik Y, Zehavi M, Yerushalmi G, Ben-Aroya S, Pupko T, Banin E. Burstein D, et al. Among authors: pupko t. mBio. 2015 Mar 17;6(2):e00161. doi: 10.1128/mBio.00161-15. mBio. 2015. PMID: 25784698 Free PMC article.

4

Identification of novel Xanthomonas euvesicatoria type III effector proteins by a machine-learning approach.

Teper D, Burstein D, Salomon D, Gershovitz M, Pupko T, Sessa G. Teper D, et al. Among authors: pupko t. Mol Plant Pathol. 2016 Apr;17(3):398-411. doi: 10.1111/mpp.12288. Epub 2015 Aug 15. Mol Plant Pathol. 2016. PMID: 26104875 Free PMC article.

5

Insights from the Genome Sequence of Acidovorax citrulli M6, a Group I Strain of the Causal Agent of Bacterial Fruit Blotch of Cucurbits.

Eckshtain-Levi N, Shkedy D, Gershovits M, Da Silva GM, Tamir-Ariel D, Walcott R, Pupko T, Burdman S. Eckshtain-Levi N, et al. Among authors: pupko t. Front Microbiol. 2016 Apr 6;7:430. doi: 10.3389/fmicb.2016.00430. eCollection 2016. Front Microbiol. 2016. PMID: 27092114 Free PMC article.

6

Show me your secret(ed) weapons: a multifaceted approach reveals a wide arsenal of type III-secreted effectors in the cucurbit pathogenic bacterium Acidovorax citrulli and novel effectors in the Acidovorax genus.

Jiménez-Guerrero I, Pérez-Montaño F, Da Silva GM, Wagner N, Shkedy D, Zhao M, Pizarro L, Bar M, Walcott R, Sessa G, Pupko T, Burdman S. Jiménez-Guerrero I, et al. Among authors: pupko t. Mol Plant Pathol. 2020 Jan;21(1):17-37. doi: 10.1111/mpp.12877. Epub 2019 Oct 23. Mol Plant Pathol. 2020. PMID: 31643123 Free PMC article.

7

ModelTeller: Model Selection for Optimal Phylogenetic Reconstruction Using Machine Learning.

Abadi S, Avram O, Rosset S, Pupko T, Mayrose I. Abadi S, et al. Among authors: pupko t. Mol Biol Evol. 2020 Nov 1;37(11):3338-3352. doi: 10.1093/molbev/msaa154. Mol Biol Evol. 2020. PMID: 32585030

8

Predicting Type III Effector Proteins Using the Effectidor Web Server.

Wagner N, Teper D, Pupko T. Wagner N, et al. Among authors: pupko t. Methods Mol Biol. 2022;2427:25-36. doi: 10.1007/978-1-0716-1971-1_3. Methods Mol Biol. 2022. PMID: 35619022

9

Comparative sequence analysis of pPATH pathogenicity plasmids in Pantoea agglomerans gall-forming bacteria.

Geraffi N, Gupta P, Wagner N, Barash I, Pupko T, Sessa G. Geraffi N, et al. Among authors: pupko t. Front Plant Sci. 2023 Jul 31;14:1198160. doi: 10.3389/fpls.2023.1198160. eCollection 2023. Front Plant Sci. 2023. PMID: 37583594 Free PMC article.

10

A machine-learning approach for predicting B-cell epitopes.

Rubinstein ND, Mayrose I, Pupko T. Rubinstein ND, et al. Among authors: pupko t. Mol Immunol. 2009 Feb;46(5):840-7. doi: 10.1016/j.molimm.2008.09.009. Epub 2008 Oct 22. Mol Immunol. 2009. PMID: 18947876

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