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
Computational prediction of putative miRNA candidates in Plasmodium falciparum was done taking its genome. Verification was done with the help of BLAST analysis performed against mRNA references (already present in various nucleotide sequence databases). miRNAs are sequences about 20-24 nucleotides long that posttranscriptionally regulate the gene expression by mRNA cleavage or translational repression. Finding miRNAs in wet lab is a difficult task, but computationally it is easy and time saving to detect putative miRNAs which can be later validated by wet lab experiments. For finding miRNAs, two programs in Perl were written, one for finding the palindromic sequences (which can form stable hair-pin like secondary structures) and another for filtering of sequences based on MFE. Secondary structure for each sequence was then determined and all the structures having their Minimum Free Energy less than - 25 Kcal/mol were then filtered by the second program, resulting in a set of sequences that contained the candidate miRNAs. These sequences were further subjected to BLAST and final filtration was done taken by considering their match length > 50 nt and similarity between 60 - 90%. This gave the final set of putative miRNAs totaling to 114 in number.