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Showing 1 to 3 of 3 for “"computational prediction methods"”.

  1. Multi-Modal Protein Function Prediction using a Joint Embedding Space from Two Graph Neural Networks

    … There’s a growing need for precise and quick computational prediction methods, filling the gap between sequence discovery and functional understanding. Over recent years there has been an influx of deep-learning protein folding algorithms used for predicting function by transfer learning. …

    mit Repository record for Multi-Modal Protein Function Prediction using a Joint Embedding Space from Two Graph Neural Networks (opens in a new tab)

  2. Comparative analysis of molecular interaction networks : the interplay between spatial and functional organizing principles

    … the actual phosphorylation sites (P-sites). The computational prediction of P-sites as well as the identification of involved kinases still suffers from insufficient accuracies and specificities of the underlying prediction algorithms, and the experimental identification in a genome-scale manner …

    potsdam-diss Repository record for Comparative analysis of molecular interaction networks : the interplay between spatial and functional organizing principles (opens in a new tab)

  3. Protein-protein interactions and metabolic pathways reconstruction of Caenorhabditis elegans

    … known signatures are used in signature profiling methods the overlap with experimental findings will increase resulting in higher true positive rate and eventually greater AUC. Despite the accuracy of protein-protein interaction methods proposed here and elsewhere, they often predict true positive …

    sask Repository record for Protein-protein interactions and metabolic pathways reconstruction of Caenorhabditis elegans (opens in a new tab)