Server
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Description
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AC2DGel:
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This is a web server for analysis and
comparison of two-dimensional electrophoresis (2-DE) Gel images. It helps in
annotating the virual 2-D gel image proteins on the basis of known molecular
weight andpH scales of the markers.
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ESLpred:
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This
is a SVM based method for predicting subcellular localization of Eukaryotic
proteins using dipeptide composition and PSIBLAST generated pfofile Using
this server user may know the function of their protein based on its location
in cell. (Bhasin, M. and Raghava, G. P. S., (2004) Nucleic Acid Res. 32(Web Server issue):W414-9).
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NRpred:
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This
is a SVM based tool for the classification of nuclear receptors on the basis
of amino acid composition or dipeptide composition. The overall prediction
accuracy of amino acid composition and dipeptide composition based methods is
82.6% and 97.2% (Bhasin, M. and Raghava, G. P. S., (2004) Journal of
Biological Chemistry 279(22):23262-6)
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GPCRpred:
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This is a server forpredicting
G-protein-coupled receptors and for classifying them in families and
sub-families. This server can play vital role in drug design, as GPCR are
commonly used as drug targets (Bhasin, M. and Raghava, G. P. S., (2004)
Nucleic Acid Res. 32(Web
Server issue):W383-9)
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GPCRSclass:
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This is a dipeptide composition based method
for predicting Amine Type of G-protein-coupled receptors. In this method type
amine is predicted from dipeptide composition of proteins using SVM. (Bhasin M, Raghava GP. (2005) 33(Web Server
issue):W143-7)
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Comp2DGel:
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Comparison,
management and access of 2D gel electrophoresis
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DNASIZE
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This web-server allow to compute the length of
DNA or protein fragments from its electropheric mobility using a graphical
method (Raghava, G. P. S. (2001) Biotech Software and Internet Report,
2:198).
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HSLpred:
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This server allows predicting the subcellulare
localization of human proteins. This is based on various type of residue
composition of proteins using SVM technique. (Garg A, Bhasin M, Raghava GP. J Biol Chem.
(2005) 280(15):14427-32)
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PSLpred:
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A
method for subcellular localization proteins belongs to prokaryotic genomes.
The pathogen play an important role in our life.
(Bhasin M, Garg A, Raghava
GP. Bioinformatics. (2005) 21(10):2522-4)
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MANGO:
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Prediction of manually annotated proteins in
Genome Ontology (GO). This server is based on nearest neighbor
method (NNM).
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Btxpred
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The
aim of BTXpred server is to predict bacterial toxins and its function
from primary amino acid sequence.
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Mitpred
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This
server predicts mitochondril proteins
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SRTpred
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This
server classifies protein sequence as secretory or non-secretory proteins
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Hemopred
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It
allows users to predict hemoglobin protein
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VGIchan
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The
aim of this server is to predict voltage gated ion-channels and classify them
into sodium, potassium, calcium and chloride ion channels from primary amino
sequences.
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SGpred
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This
server allows user to identify and visulaze the genes which have different
expression level in normal and disease conditions.
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LGEpred
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This
server allows user to analsis the expresion data (Microarray Data) where it
calculate correlation coefficient between amino acid residue and gene
expression level.
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NTXpred
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The
aim of this server is to predict neurotoxins and it source and probable
functions from primary amino acid sequences
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VICMpred
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This
server aids in broad functional classification of bacterial proteins into
virulence factors, information molecule, cellular process and metabolism molecule.(Saha, S. and Raghava, G. P. S.(2006) Genomics Proteomics & Bioinformatics(In Press) )
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AlgPred
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This server predicts allergens from amino acid sequences using presence of IgE epitopes, MEME/MAST motif, allergen representative peptides BLAST search and SVM based method(Saha, S. and Raghava, G. P. S.(2006) Nucleic Acids Research(In Press) )
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RBPred
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This server predicts rice leaf blast severity(%) based on the weather parameters and utilizes the regression mode of SVM
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RSL-Pred
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This server predicts subcellular localization of rice proteins e.g, chloroplast, cytoplasmic, mitochondrial and nuclear proteins
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AntiBP
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This is a QM, SVM, ANN based server that predicts whether a peptides sequences is an antibacterial peptide or not. It also identifies antibacterial peptides in a protein sequence
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COPid
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This server find proteins that are amino acid compositionaly similar to other proteins present in database. It can be used to compare and calculate amino acid/dipeptide composition, and can form distance matrix for phylogenetic analysis. It can also be used for patterns generation for SNNS, SVM and Timble.
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siRNAPred
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This server predicts siRNA and utilize SVM based on composition
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