Project titles for:
Project titles for: 2006-08
- Detection of putative miRNA sequences in rice genome
- QSAR Studies on Tuberculosis Inhibitors
- Eigenvalue analysis and its applications in Bioinformatics
- Parallel Implementation of DOCK Algorithm
- Comparative Analysis of Protein Classification Methods
- Identification of Neuraminidase inhibitors of Influenza virus
- Identification of Transcription factor binding sites in yeast
- Restriction site analysis of Rice genome
- Docking Studies on Tuberculosis Inhibitors
- Determination of sequence homology in promoter region for abiotic stress responsive genes in rice
- SNP mining in Chromosome no.8 of rice
- Annotation of EST Sequences present on Chromosome no. 1, 4 & 8 of Rice
- Function Prediction for genes near BAD-2 locus on Chromosome no. 8 of Rice
- Computational Prediction of Putative miRNA Candidates in Malarial Parasite Genome
- Multimedia database of fungal diseases in Rice and Wheat
- GePre: A Gene Prediction Tool
- SEALI: A Sequence Alignment Tool
- Tannase Structure Prediction
- Algorithms on PAM and BLOSUM Matrices
MicroRNAs (miRNAs) are regulatory small RNAs that play an important roles in multiple biological and metabolic processes, including developmental timing, signal transduction, cell maintenance and differentiation, diseases and cancers. miRNAs regulate the gene expression at the posttranscriptional level by directly cleaving targeted miRNAs of repressing translation. Computational approach is most widely used to detect putative miRNAs. For finding miRNAs, two perl scripts were written, one for finding the palindromic sequences, which can form stable hair-pin like secondary structure. Secondary structure for each sequence was then determined using RNAfold and all the structures having their Minimum Free Energy less than -40 Kcal/mol were then filtered by the second program, resulting in a set of sequences that contained the candidate miRNAs. Sequences, verified as putative miRNAs of in chromosome 1, 4 and 8 of O. sativa, were then aligned with the known miRNAs in miRBase database and it matched against 18 known miRNAs in miRBase database.