Effector prediction in host-pathogen interaction based on a Markov model of a ubiquitous EPIYA motif. BMC Genomics. 2010;11 Suppl 3:S1.Xu, S., zhang, C., Gao, J., Xu, D., 2010. Effector prediction in host- pathogen interaction based on a Markov model of a ubiquitous EPIYA motif. ...
Protoplast populations are co-transformed with a pooled library comprising hundreds of effector genes (E1,E2,En,Avr) from a pathogen along with either a knownRgene or an empty vector (EV) for the negative control. The library MOT, defined as the number of plasmid molecules per cell (for e...
of these, 1369 were predicted to encode a non-enzymatic effector candidate (EC). Here, only small, secreted proteins of ≤400 amino acid residues in length, as well as larger secreted proteins with an effector prediction by EffectorP v3.0 ...
The presence or absence of effector genes, or ACs/ARs that contain them, can determine host/cultivar-specific virulence for several pathogen species [30]. Bioinformatic methods for effector prediction are usually of a reductive nature, which filter the complete gene set down to an candidate effecto...
found between the ClECs. We also applied the effector prediction to nine species in the genusColletotrichum, and the results ranged from 247 predicted effectors inColletotrichum graminicolato 446 inColletotrichum orbiculare. Twelve conserved domains were predicted in the effector candidates of all ...
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Effector prediction and characterization in the oomycete pathogen Bremia lactucae reveal host-recognized WY domain proteins that lack the canonical RXLR motif 2020, PLoS Pathogens Defense and counterdefense during plant-pathogenic oomycete infection 2019, Annual Review of Microbiology View all citing article...
Prediction and confirmation of a site critical for effector regulation of RGS domain activity. (2001) Prediction and confirmation of a site critical for effector regulation of RGS domain activity, Nat Struct Biol, 8, 234-237... Sowa,Mathew,E.,... - 《Nature Structural Biology》 ...
Immune checkpoint blockade has provided a paradigm shift in cancer therapy, but the success of this approach is very variable; therefore, biomarkers predictive of clinical efficacy are urgently required. Here, we show that the frequency of PD-1+CD8+ T ce
Prediction of kidney graft survival by sensitive crossmatch tests and the use of effector cell function (ECA) as a predictor of rejection 来自 Semantic Scholar 喜欢 0 阅读量: 11 作者:PR Mcconnachie,WT Finch,AG Birtch 摘要: In this article, survival of 36 consecutive cadaver kidney grafts was...