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Subcellular localization prediction of predicted proteins was analyzed using the latest PSORTb version 3.0, which categorizes the proteins with high-confidence subcellular scores (59, 60).
According to subcellular localization prediction, BoCCD4-1 and BoCCD4-3 are localized in chloroplasts, whereas BoCCD4-2 is localized in the cytosol (Additional file 1: Table S8).
Protein subcellular localization prediction revealed HcIDI2 were localized in cytosol, while HcIDI1 in plastids or mitochondria (Fig. 4).
We used the Arabidopsis thaliana genome and web-based subcellular localization prediction tools to search for chloroplast-localized homologues of cytosolic vesicular trafficking components.
First, the proposed method offers multiple feature spaces which are designed from GPS data, localization prediction model, image holistic features, and image local features.
Cellular localization prediction using different bioinformatic tools showed that the predicted protein might be secreted to extracellular space.
In this study, we have demonstrated that the specificity and sensitivity of protein subcellular localization prediction can be improved by incorporation of multiple predictive methods and structural information.
Thus, BcWRKY25 and 40 were localized to the nucleus, which agreed with the protein subcellular localization prediction.
We rigorously benchmarked LOCtree in comparison to the best alternative methods for localization prediction.
The proper numerical treatment of strain is an indispensable prerequisite of an accurate localization prediction.
Recent studies have shown that relying on Gene Ontology (GO) for feature extraction can improve protein subcellular localization prediction performance.
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