Publications by authors named "Sandhya R Shenoy"

Cancer is a group of diseases with major societal impact and accounts for approximately 55 percent of mortality in India. The Indian population is increasing in size and gradually ageing. As a result, the number of people diagnosed with and dying of cancer are increasing.

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In an era that has been dominated by Structural Biology for the last 30-40 years, a dramatic change of focus towards sequence analysis has spurred the advent of the genome projects and the resultant diverging sequence/structure deficit. The central challenge of Computational Structural Biology is therefore to rationalize the mass of sequence information into biochemical and biophysical knowledge and to decipher the structural, functional and evolutionary clues encoded in the language of biological sequences. In investigating the meaning of sequences, two distinct analytical themes have emerged: in the first approach, pattern recognition techniques are used to detect similarity between sequences and hence to infer related structures and functions; in the second ab initio prediction methods are used to deduce 3D structure, and ultimately to infer function, directly from the linear sequence.

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Automated protein tertiary structure prediction from sequence information alone remains an elusive goal to computational prescriptions. Dividing the problem into three stages viz. secondary structure prediction, generation of plausible main chain loop dihedrals and side chain dihedral optimization, considerable progress has been achieved in our laboratory (http://www.

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We describe here an energy based computer software suite for narrowing down the search space of tertiary structures of small globular proteins. The protocol comprises eight different computational modules that form an automated pipeline. It combines physics based potentials with biophysical filters to arrive at 10 plausible candidate structures starting from sequence and secondary structure information.

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We have identified a chitinase with antifungal activity in the bulbs of the plant Urginea indica(Indian squill) and purified it about 26-fold. The purified preparation contained a Mr 29 kDa protein that was an active growth inhibitor of the fungal pathogens Fusarium oxysporum and Rhizoctonia solani in an in vitro assay. Amino acid sequence analysis of the Mr 29 kDa protein revealed it to be highly homologous to the family 19 glycoside hydrolases, which are known to possess chitinase activity.

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