Search Results - sequence-based interactive learning

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    FIS-PNN: a hybrid computational method for protein-protein interactions prediction using the secondary structure information

    FIS-PNN: a hybrid computational method for protein-protein interactions prediction using the secondary structure information by Sakhinah Abu Bakar, Javid Taheri, Albert Y Zomaya

    Published 2012
    “…As a result, they must interact with each other. In this study we used our approach, namely FIS-PNN, to predict the interacting proteins in yeast from the information of their secondary structures using hybrid machine learning algorithms. …”
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  2. 2
    Protein Secondary Structure Prediction Using Ensemble Neural Networks With Local And Long-range Amino-acid Features

    Protein Secondary Structure Prediction Using Ensemble Neural Networks With Local And Long-range Amino-acid Features by Hazzaa Mahyoub, Fawaz Hameed

    Published 2021
    “…Recent works have focused on capturing local and long-range amino-acid interactions using various predicted protein structural features via an ensemble of deep learning techniques. …”
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