CSIR-Informatics Portal

The NRpred is a SVM based tool for the classification of nuclear receptors on the basis of amino acid composition or dipeptide composition.

The GPCRpred is a SVM based tool for the prediction of families and superfamilies of G-protein coupled receptors

The ESLpred is a SVM based method for predicting the subcellular localization of the eukaryotic proteins using dipeptide compostion and PSI-BLAST.

PSLpred is a SVM based prediction of subcellular localization of bacterial proteins

BTXpred server predicts bacterial toxins and its function from primary amino acid sequence using SVM, HMM and PSI-Blast.

This webserver predicts amine type of G-coupled REceptors

MitPred is a web-server specifically trained to predict the proteins which are destined to localized in mitochondria in yeast and animals particularly.

OxyPred is to predict the Oxygen Binding Proteins, Which is carrying Erythrocruorin, Hemoglobin, Myoglobin, Hemerithrin, Leghemoglobin and Hemocyanin. These Proteins working as a Oxygen transport and binding throughout the animal and plant kingdom. Other organisms including Bacteria, Protozoans and Fungi all have hemoglobin like proteins, their known and predicted roles include the reversible binding of gaseous ligands.

The aim of VGIchan server is to predict voltage gated ion channels and classify them into sodium, potassium, calcium and chloride ion channels from primary amino acid sequence using SVM method based on composition , PSI-Blast and HMM .

Prediction of subcellular localization of human proteins.

This web-server allow to compute the length of DNA or protein fragments from its electropheric mobility using a graphical method.

GSTpred is a web-server specially trained for the Glutathione S-transferase protein.The prediction is based on the basis of amino acid composition, dipeptide composition, tripeptide composition by using support vector machines(SVM).The prediction result will be displayed on web browser in tabular form with score.

A server for predicting functional class of a protein. It predict function according to GO categories. The method is developed on protein in UNIPROT database whoes function have been assigned manually according to GO criteria.

This server allows user to analsis the expresion data (Microarray Data) where it calculate correlation coefficient between amino acid residue and gene expression level. This will facilitate users in understanding which residues are prefered and vice verse in a organism in given condition.

The aim of NTXpred server is to predict Neurotoxins and its source and probable function from primary amino acid sequence using SVM based on composition and PSI-Blast. Neurotoxins are Key players in science and medicine and are used in ion channels and receptor studies, drug discovery, and formulation of insecticides.

Prediction of Virulence factors, Information molecule, Cellular process and Metabolism molecule in the Bacterial proteins.

The prediction of allergenic proteins is becoming very important in present time due to use of modified proteins in foods (genetically modified foods), therapeutics, bio-pharmaceuticals etc.

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%.

RSLpred is an attempt in this direction which is a SVM based prediction method for 4 major target proteins (Chloroplast, Cytoplasm, Mitochondria and Nucleus) in rice.

Prediction of Submitochondrial Location of mitochondrial Proteins

"ESLpred2" is an improved version of our previous most popular method, ESLpred , which can predict four major localizations (cytoplasmic, mitochondrial, nuclear and extracellular) with an accuracy of 88%.

This server is an attempt to help biolgist identify Inteins hiding in their protein sequences.

CyclinPred is a SVM based prediction method to identify novel cyclins using various features of proteins.

It is a webserver for prediction and classification of cytokines.

PFMpred is developed for predicting mitochondrial proteins of malaria parasite Plasmodium falciparum . All models were trained and tested on 175 proteins (40 mitochondrial & 135 non-mitochondrial proteins) and evaluated using five-fold cross validation.

TBpred is a prediction server that predicts four subcellular localization (cytoplasmic,integral membrane,secretory and membrane attached by lipid anchor) of mycobacterial proteins.It is SVM based method that exploits defferent features of protein such as amino acid compositin, dipeptide composition and position specific scoring matrix (PSSM).

Proprint web-server predicts physical or functional interactions between protein molecules. We have exploited the amino acid sequence-based descriptors such as amino acid composition, dipeptide composition, biochemical classes composition, pseudo-amino acid composition, Position Specific Scoring Matrix (PSSM) etc for the vector representation of protein sequences.

PSEApred2 is the succession of previously developed method PSEApred for prediction of secretory proteins of Plasmodium falciparum with new features.

ChloroPred:is a web based tool for prediction of chloroplast proteins. ChloroPred takes an amino acid sequence as input and predicts chloroplast proteins with Support Vector Machine (SVM) and weka-SMO classifier. These method have been trained and tested using five-fold cross-validation on a dataset of 712 proteins.

CancerPred is a web-server specially trained for predicting the Cancerlectins.