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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


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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