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UNLABELLED To investigate the functional sites on a protein and the prediction of binding sites (residues)in proteins, it is often required to identify the binding site residues at different distance threshold from protein three dimensional (3D)structures. For the study of a particular protein chain and its interaction with the ligand in complex form, researchers have to parse the output of different available tools or databases for finding binding-site residues. Here we have developed a tool for calculating amino acid contact distances in proteins at different distance threshold from the 3D-structure of the protein. For an input of protein 3D-structure, ContPro can quickly find all binding-site residues in the protein by calculating distances and also allows researchers to select the different distance threshold, protein chain and ligand of interest. Additionally, it can also parse the protein model (in case of multi model protein coordinate file)and the sequence of selected protein chain in Fasta format from the input 3D-structure. The developed tool will be useful for the identification and analysis of binding sites of proteins from 3D-structure at different distance thresholds. AVAILABILITY IT CAN BE ACCESSED AT: http://procarb.org/contpro/

UNLABELLED Conformational switches observed in the protein backbone play a key role in a variety of fundamental biological activities. This paper describes a web-server that implements a pattern recognition algorithm trained on the examples from the Database of Macromolecular Movements to predict residue positions involved in conformational switches. Prediction can be performed at an adjustable false positive rate using a user-supplied protein sequence in FASTA format or a structure in a Protein Data Bank (PDB) file. If a protein sequence is submitted, then the web-server uses sequence-derived information only (such as evolutionary conservation of residue positions). If a PDB file is submitted, then the web-server uses sequence-derived information and residue solvent accessibility calculated from this file. AVAILABILITY FlexPred is publicly available at http://flexpred.rit.albany.edu.

UNLABELLED Diabetic retinopathy, is a microvascular complication of diabetes mellitus and is a major cause of adult blindness. Despite advances in diagnosis and treatment the pathogenesis of diabetic retinopathy is not well understood. Results from epidemiological studies of diabetic patients suggest that there are familial predispositions to diabetes and to diabetic retinopathy. Therefore the main purpose of this database is to help both scientists and doctors in studying the candidate genes responsible for causing diabetic retinopathy. For each candidate gene official symbol, chromosome map, number of exons, GT-AG introns, motif, polymorphic variation and 3D structure are given respectively. In addition to molecular class and function of these genes, this database also provides links to download the corresponding nucleotide and amino acid sequences in FASTA format which may be further used for computational approaches. Therefore this database will increase the understanding of the genetics underlying the development or progression of diabetic retinopathy and will have an impact on future diagnostic, prevention and intervention strategies. AVAILABILITY The database is freely available at http: diaretinopathydatabase.com.

MAPK (Mitogen Activated Protein Kinase) is a Ser/Thr kinase, which plays a crucial role in plant growth and development, transferring the extra cellular stimuli into intracellular response etc. Manual identification of these MAPK in the plant genome is tedious and time taking process. There are number of online servers which predict the P-site (phosphorylation site), find the motifs and domain but there is no specific tool which can identify all them together. In order to identify the P-Site, phosphorylation site consensus sequences and domain of the MAPK in plant genome, we developed a tool, MAP Kinase analyzer. MAP kinase analyzer take protein sequence as input in the fasta format and the output of tool includes: 1) The prediction of the phosphorylation site viz., Serine (S), Threonine (T), and Tyrosine (Y), Contex, Position, Score and phosphorylating kinase as well as the graphical output; 2) Phosphorylation site consensus sequence pattern for different kinases and 3) Domain information about the MAPK's. The MAP kinase analyser tool and supplementary files can be downloaded from http://www.bioinfogbpuat/mapk_OWN_1/.