About Prediction Levels
Level I: This is first level where a query sequence is being predicted as single localization or dual localization
Level II: This level will run leve1 first followed by level2 where a query sequence is first predicted as single localization or dual localization followed by classifying single localization into 12 classes. 'Vacuole', 'Cytoplasm', 'Peroxisome', 'Golgi', 'Endoplasmic', 'Memebrane', 'Secreted', 'Cell', 'Mitochondria', 'Endosome', 'Plastid','Nucleus'.
Level III: This level will execute level1 and level2 followed by classifying dual localization in 9 classes. 'Cell-memebrane & Membrane', 'Cytoplasm & Membrane','Endoplasmic reticulum & Membrane','Golgi & Membrane','Membrane & Mitochondria','Membrane & Plastid','Plastid & Mitochondria','Nucleus & Chromosome','Nucleus & Cytoplasm'.
level IV: This phase will execute level1, level2 and level3 followed by classifying Memebrane predicted in level2 into single-pass or multi-pass.
About Prediction Strategy
There are two prediction strategy available in RSLPred-2.0 [Fast, Sensitive]. There is an icon with general information about the tool and a brief explanation on how it works.
The 'Fast' approach model provides a fast prediction. This approach is useful in annotationg huge number of proteins.
The 'Sensitive' approach model provides a more sensitive prediction at the cost of longer computation time. This approach is useful in annotationg small number of proteins with high-quality prediction.
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