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- W2023483877 abstract "We explore the use of information on co-occurrence of domains in multi-domain proteins in predicting protein-protein interactions. The basic premise of our work is the assumption that domains co-occurring in a polypeptide chain undergo either structural or functional interactions among themselves. In this study we use a template data-set of domains in multidomain proteins and predict protein-protein interactions in a target organism. We note that maximum number of correct predictions of interacting protein domain families (158) is made in S. cerevisiae when the dataset of closely related organisms is used as the template followed by the more diverse dataset of bacterial proteins (48) and a dataset of randomly chosen proteins (23). We conclude that use of multi-domain information from organisms closely-related to the target can aid prediction of interacting protein families." @default.
- W2023483877 created "2016-06-24" @default.
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- W2023483877 date "2009-05-01" @default.
- W2023483877 modified "2023-09-23" @default.
- W2023483877 title "How effective is the data on co-occurrence of domains in multi-domain proteins in prediction of protein-protein interactions?" @default.
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- W2023483877 doi "https://doi.org/10.1109/gensips.2009.5174351" @default.
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