Academic Interests

For my academic record you could check out my resume. Here I will be briefly describing my current field of interest.

I have been working in the field of bioinformatics for the past several years now. I started off, during my Ph.D., by developing an algorithm for identifying genes. The algorithm, christened GeneScan is based on the existence of short-range correlations, most notably a 3-periodicity, in protein coding segments of DNA. It detects this periodicity using the mathematical tool called Fourier transform. The measure used for picking out genes from genomic sequences is a signal-to-noise ratio at frequency f = 1/3. For more details refer to our CABIOS paper. To download a PDF file of the paper click here .

That was my first and only venture into genomic sequence analysis. While I am still fascinated with the area and keep in touch with how it is progressing, I have been working with protein sequences over the last few years. The questions I have tried to address include factors contributing to protein stability, attempt at secondary structure prediction and most recently trying to develop an energy potential for ab initio folding of proteins. Our analysis of in vitro stability of proteins revealed a correlation with the propensity of amino acids to a structural environment, see our Protein Engineering paper[PDF] for details. Our attempt at secondary structure prediction resulted in the following paper[PDF].

For more details feel free to browse through my resume.

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