In-silico Identification of Anti-fertility Proteins based on Sequence and Structural Similarity

The hiking population is one of the major problems of concern its negative impact can be seen on welfare economics of developing and even developed nations. In order to abolish this hike there is need to synthesize effective antifertility compounds. In this paper the Ribosomal Inactivating Proteins of Momordica charantia are used showing anti-fertility property. Even if the studies conducted on phyto-proteins serves to produce compounds with novel structures, excellent activity, and negligible side effects, but still a very less number of phyto-proteins are identified along with their medicinal importance. In this paper an in-silico approach is described for modeling the threedimensional structure of a protein from the homologous protein structures and their amino acid sequences. A method is developed for the simultaneous superimposition of several protein molecules and for the calculation of an ‘average structure’ or ‘framework’ by the RMSD values in order to obtain most similar structure of the phytoproteins showing anti-fertility property. Consequently, we obtained nine phyto-proteins on the basis of the family of homologous proteins. This alignment provides a basis for model building the tertiary structure for the unknown phyto-proteins.

Author(s): Shriddha Shukla, Savita Dixit and K. R. Pardasani

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