Chloroplast is one of the major cellular organelles in the plant and algal cell. It performs many essential biosynthetic and metabolic functions such as photosynthetic carbon fixation, synthesis of amino acids, fatty acids, and secondary metabolites.
SubChloroPred, predict the proteins of chloroplast as well as sub-chloroplast location with very high sensitivity. This method was based on combined approach of Pfam domain information and SVM score using N-terminal, C-terminal and remaining part of proteins amino acid composition. As previously observed, this method also supports the views that signals play a very important role in protein transport in chloroplast.
We used a dataset that contains chloroplast and sub-chloroplast proteins with less homology bias. Two different benchmark dataset were used for the performance of the method and compare this method with other existing methods. Further, we also annotate chloroplast and sub-chloroplast proteins in different biological important higher crop plants.
First release