Project titles for:
Project titles for: 2008-10
- In silico analysis of Larger subunit of AGPase in Rice and Maize
- In silico Analysis of mutated in Larger subunit of AGPase in Maize
- Structural Comparison of Betaine Aldehyde Dehydrogenase-1 of Barley and Rice
- Analysis of Gene Expression Database of Skin Cancer
- Evaluation of Sequence Alignment Tools
- Phylogenetic analysis of Drb 3.2 gene
- Modelling of Smaller subunit of AGPase in Rice and Maize
- Prediction of Protein structure from sequence
- Development of Clinical Information Database of domestic animals
- To identify distant relationship between flavoprotein superfamily
- Promoters comparison in bacteria
- Transport protein features analysis
- Genome deciphering and comparative genomics of Solanaceous genome
- Computational approach in deciphering effect of gene alteration inArabidopsis Thaliana
- Simulation of conformational changes in protein
Bioinformatics shows exciting promise in the development of methods that allow quick resolution of newly sequenced proteins to their closest experimentally verified relatives. Sequence search procedures such as PSI-BLAST can detect protein relationships effectively when sequence similarities are high. Remote homology sequence search tools are powerful methods for detecting distant and non-obvious similarities among proteins. Such methods are often challenged with detecting relationships in proteins that are usually restricted to the realm of structural comparisons. During the present course study of distant relationships of flavoprotein superfamily had been predicted through exploitation of computational approach. Protein sequences of all thirty proteins of flavoprotein superfamily were downloaded from SUPERFAMILY database. Sequences were fed to Cascade PSI-BLAST, which predicted the very distant homologs of that particular protein. It determined the E-value and the percentage of identity of the homologs. Greater the E-value and lower the percentage of identity, homologs were very distant. Proteins dissimilar in sequence can adopt similar structure. To check this problem, we prefer the structure-based approaches. Predicted structure was uploaded in the Dali server, which found the homologs of that particular structure on the basis of Z-score and the percentage identity. For the distant homologs, Z-score and percentage of identity should be less.