Prediction of rna-binding proteins with respect to their domains.

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dc.contributor.authorARJMAND MAJEED
dc.date.accessioned2025-12-05T18:35:42Z
dc.date.available2025-12-05T18:35:42Z
dc.date.issued2020
dc.description.abstractDue to innumerability and diversity in biological processes, many cellular physiological processes depend on the decisive factors of interaction between RNA and protein. RNA-binding proteins (RBPs) habitually changes the functionality of RNA by making abound with one or more globular domains of RNA-binding with incredibly diverse structure and mechanisms. High productiveness of biological experiments come up with enough essential information, to initially identify the RNAprotein interaction, however, RPI networks complexities are so time-consuming and expensive. Hence, a reliable and high-speed prediction method becomes necessary. In this proposed work, we put forward a computation method that uses sequential information for the prediction of RNAprotein interactions and their domains like K- homology, RNA Recognition Motif, Ribosomal protein S! -like, THUMP domain, C2h2 Zinc Finger/CCCH zinc finger and PUA through which they interact. Position relative statistical moments were calculated for the training of neural networks. With the use of 10-fold cross-validation and jackknife testing accuracies of 94.97% and 96% have been achieved respectively whereas the accuracy of the overall system is 94.4% with a sensitivity value of 94%. The obtained result shows a high potential to play an important role among the existing method.
dc.identifier.urihttps://escholar.umt.edu.pk/handle/123456789/15280
dc.language.isoen
dc.publisherUMT Lahore
dc.titlePrediction of rna-binding proteins with respect to their domains.
dc.typeThesis
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