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A mirror site is an exact replica of a database or web site. The aim of establishing mirror sites is to enable an easy access to scientific. There are number of databases and webservers on Internet located in various countries. Most of these resources are accessible via Internet. However, it is not practically possible if a user wants to access or download large volumes of data, due to speed limitations of Internet. Thus, it is essential to mirror important and frequently used resources at local sites for easy and fast access. Following five subject has been identified for mirroring.
| Structure Prediction | The prediction of secondary and tertiary structure of proteins |
| Immunoinformatics | The servers and databases suitable for vaccine design |
| Functional Proteomics | Compilation of resoureces important for studying proteomes |
| Genome Annotation | The prediction of component of genes and repettive regions |
| Public Domain Resources | Mirroring of resources available free in public domain. |
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The aim of this server is to predict MHC Class-I binding regions in an antigen sequence (Singh, H. and Raghava, G.P.S. (2003) Bioinformatics, 19: 1009) |
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The aim of this server is to predict MHC Class-II binding regions in an antigen sequence (Singh, H. and Raghava, G. P. S. (2001) Bioinformatics 17: 1236) |
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The BcePred server predict B cell epitope based on physio-chemical properties of amino acids. (Saha,S and Raghava GP (2004) ICARIS, LNCS 3239,197-204) |
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This server allow to predict binding peptide for 67 MHC Class I alleles. This also allow to predict the proteasome cleavage site and binding peptide that have cleavage site at C terminus (potential T cell epitopes). This uses the hybrid approach for prediction (Neural Network + Quantitative Matrix) |
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SVM and ANN based methods for predicting HLA-DRB1*0401 binding peptides in an Antigen Sequence (Bhasin, M. and Raghava, G.P.S. (2003) Bioinformatics 20:421). |
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ABCpred server is to predict linear B cell epitope regions in an antigen sequence, using artificial neural network. This server will assist in locating epitope regions that are useful in selecting synthetic vaccine candidates, disease diagonosis and also in allergy research. |
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Prediction of of MHC class I binders which can bind to wide range of MHC alleles with high affinity. This server has potential to develop sub-unit vaccine for large population (Bhasin, M., and Raghava, G.P.S. (2003) Hybridoma and Hybridomics 22: 229) |
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Prediction of binders for MHC class II alleles. This allows to predict promiscuous class binders, which can bind to large number of MHC Class II alleles. |
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Bcipep is a collection of the peptides having the role in Humoral immunity. The peptides in the database has varying measure of immunogenicity.This database can assist in the development of method for predicting B cell epitopes, desigining synthetic vaccines and in disease diagnosis. This databse is also launched by European Bioinformatics Institute (EBI) Hinxton, Cambridge, UK. (Saha S, Bhasin M, RaghavaGP. (2005)BMC Genomics. 6(1):79) |
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This server allows server to predict proten (Immuno and standard) (Bhasin M, Raghava GP. (2005) Nucleic Acids Res.33(Web Server issue):W202-7) |
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Matrix Optimization Technique for Predicting MHC binding Core (Singh, H. and Raghava, G. P. S. (2002) Biotech Software and Internet Report, 3:146)
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A server for predicting binders for MHC class I and II alleles. It also search these predicted binders in various genomes. |
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TAPPred is an on-line service for predicting binding affinity of peptides toward the TAP transporter. The Prediction is based on cascade SVM, using sequence and properties of the the amino acids (Bhasin, M. and Raghava, G. P. S. (2004) Protein Science 13:596-607). |
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It is an interface developed for evaluating the Major Histocompatibility Complex (MHC) binding peptide prediction algorithms. |
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The MHCBN is a curated database consisting of detailed information about Major Histocompatibility Complex (MHC) Binding,Non-binding peptides and T-cell epitopes.The version 3.1 of database provides information about peptides interacting with TAP and MHC linked autoimmune diseases This databse is also launched by European Bioinformatics Institute (EBI) Hinxton, Cambridge, UK. (Bhasin, M., Singh, H. and Raghava, G. P. S. (2003) Bioinformatics 19: 665). |
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Direct method of prediction of CTL Epitopes in an antigen sequence. This server utlize the machine learning techniques Support Vector Machine(SVM) and Aritificial Neural Network (ANN) for prediction (Bhasin, M. and Raghava, G. P. S. (2004) Vaccine 22:3195-204 ) |
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This web-server allow to compute the endpoint titer and concentration of Antibody(Ab) or Antigen(Ag) from ELISA data(Raghava, G. P. S. and Agrewala, J. N. (2001) Biotech Software and Internet Report, 2:196). This server is based on graphical method developed for calculating Ab/Ag concentration (Raghava, G.P.S., Joshi, A.K. and Agrewala, J.N. (1992) J. Immunol. Methods 153, 263-264). |
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A database of hapten molecules which can not activate immune system but can stimulate immune response if attach with the carrier proteins. |
This web site was developed by Dr. G. P. S. Raghava under the guidance of Prof. Thomas Kieber-Emmons
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