This is a web-server for predicting
proteins secreted by Malarial Parasite P.falciparum into
infected-erythrocyte. It is based on SVM method using amino acid
composition module we have achieved maximum accuracy 83.2%. The method
predicts the secretory proteins at the rate of 0.1%
false prediction. The method is trained and tested on a dataset of
504 Plasmodium falciparum proteins (252 secretory & 252 non-secretory proteins)
and evaluated using leave-one out cross-validation technique. The protein used for developing our method were obtained from PLASMODB, a database of plasmodium genome.
If you are using this server please site:
Click HERE to get the data set of 252 positive proteins and 252 negative
proteins used to develop pseapred.
Verma R, Tiwari A, Kaur S, Varshney GC, Raghava GPS.
Identification of Proteins Secreted by Malaria Parasite into Erythrocyte using SVM and PSSM Profiles. BMC Bioinformatics 9:201.
Click HERE to get the predicition result of whole proteome of Plasmodium falciparum by PSEApred.