POOE/POFE

Predictor of Oomycete/Fungal Effectors Empowered by Protein Language Model


Using webserver
       You need to input your protein sequences in FASTA format into the textfield provided in the home page. The maximum number of sequences that you can submit is 200 for per job. Job name is optional for your submission. The default Specifcity is 0.93, higher setting for more reliable effectors. Predicting one typical sequence may take nearly 1.0 minute. The result page will be showed in Job list.

Raw Score
       POOE:The predictor uses the raw score to classify an unknown oomycete protein sequence as an effector or not. The higher the score is, the more possible the protein is an effector. The interval of the raw score is from 0 to 1. POOE provides two different specificity controls (97% and 93%), and the corresponding score cutoffs are 0.70 and 0.50, respectively. For example, when the specificity control is set at 93%, all proteins with scores equal to or higher than 0.50 are considered as candidate effectors.
       POFE:The predictor uses the raw score to classify an unknown fungal protein sequence as an effector or not. The higher the score is, the more possible the protein is an effector. The interval of the raw score is from 0 to 1. POFE provides two different specificity controls (97% and 93%), and the corresponding score cutoffs are 0.66 and 0.42, respectively. For example, when the specificity control is set at 93%, all proteins with scores equal to or higher than 0.42 are considered as candidate effectors.

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