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- W2776879684 abstract "Based on the clustering coefficient applied in our earlier research paper, a total 10 proteins with high clustering coefficient were selected as the candidate proteins which involve in Type II diabetes. The downloaded PDB structures of these 10 proteins were submitted RASPD server for identification of putative drug targets. For many drug targets generated for each proteins by RASPD, we have selected a total of 10 drug molecules which are good candidates for all the 10 proteins. Further these 10 putative drug molecules were docked with each of the protein PDB and predicted the common drug which have capacity to bind for multiple proteins." @default.
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- W2776879684 date "2017-12-27" @default.
- W2776879684 modified "2023-09-25" @default.
- W2776879684 title "Computational Prediction of Ligands with Multiple Protein Targets Involved in Type II Diabetes" @default.
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- W2776879684 doi "https://doi.org/10.1007/978-981-10-6653-5_10" @default.
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