glutathione transferases are multifunctional proteins involved in several diverse intracellular events such as primary and secondary metabolisms, signaling and stress metabolism. these enzymes have been subdivided into eight classes in plants. the phi class, being plant specific, is the most represented. in the present study, based on the sequences available at genbank, different primers were d...

Predicting protein secondary structure is a key step in determining the 3D structure of a protein that determines its function. The Dictionary of Secondary Structure of Proteins (DSSP) uses eight classes to describe a protein. The DSSP database is a database of secondary structure assignments for all protein entries in the Protein Data Bank (PDB) with an algorithm designed to standardize these ...

boophilus genus ticks are responsible for transferring some pathogens and reducing production factors in cattle. tropomysin (tpm) protein has actin regulator activity and playing important role in immune and allergic reactions. the main goal is to determine different aspects of phylogenetic, similarity, homology, structure and allergenicity of tpm protein. in prior study, we identified tpm by u...

Predicting protein secondary structure using lattice model is one of the most studied computational problem in bioinformatics. Here secondary structure or three dimensional structure of protein is predicted from its amino acid sequence. Secondary structure refers to local sub-structures of protein. Mostly founded secondary structures are alpha helix and beta sheets. Since, it is a problem of gr...

The database provides the information about the non-redundant protein dataset (1573 proteins) obtained from the Protein Data Bank. The information includes PDB ID, Length of the protein, Resolution, PDB Secondary structure, PDB secondary structure summary, PHD secondary structure prediction, PHD secondary structure prediction summary, sequence. We further revised the PDB Secondary structure sum...

Protein secondary structure prediction is very important for its molecular structure. GOR algorithm is one of the most successful computational methods and has been widely used as an efficient analysis tool to predict secondary structure from protein sequence. However, the running time is unbearable with sharp growth in protein database. Fortunately, CUDA (Compute Unified Device Architecture) p...