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Asian Journal of Biological Sciences
Year: 2011  |  Volume: 4  |  Issue: 8  |  Page No.: 575 - 590

Prediction of Medicinal Properties of Marine Biota using Computational Bioinformatics Techniques

S. Gupta and R.K. Sharma    

Abstract: Leishmaniasis, being one of the Neglected Diseases, has very insignificant global Research and development attention. There is a need to employ in silico bioinformatics tools in support of pharmacological screening to expedite the drug development process with optimal success rate. The present in silico studies revealed that punaglandin 3 and kalihinol X isolated from the soft coral Telesto riisei and Fijian sponge species of Acanthella sp., respectively showed promising antileishmanial activity, thereby, saving a substantial amount of time, energy and resources which would have otherwise been wasted, in random pharmacological screening of marine samples with no surety of targeting a right sample for a right screen.

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