Predicts if a protein is localized to the plant apoplast. ApoplastP is a data-driven machine learning approach. It outperforms the common approach of selecting apoplastic effectors from secretomes based on a high cysteine content, improving prediction accuracy by over 13%. This method also recognizes the localization of cytoplasmic effectors with high accuracy, even if they enter the plant cell cytoplasm from apoplast.
Centre for Environment and Life Sciences, CSIRO Agriculture and Food, Perth, WA, Australia; Black Mountain Laboratories, CSIRO Agriculture and Food, Canberra, ACT, Australia; Centre for Crop and Disease Management, Department of Environment and Agriculture, Curtin University, Bentley, Western Australia, Australia