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PREDICTING BIOLOGICAL FUNCTIONS OF PROTEINS USING DILATED CONVOLUTIONAL NEURAL NETWORKS

机译:运用卷积神经网络预测蛋白质的生物学功能

摘要

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for predicting biological functions of proteins. In one aspect, a method comprises: obtaining data defining a sequence of amino acids in a protein; processing the data defining the sequence of amino acids in the protein using a neural network, wherein: the neural network is a convolutional neural network comprising one or more dilated convolutional layers; and the neural network is configured to process the data defining the sequence of amino acids in the protein in accordance with trained parameter values of the neural network to generate a neural network output characterizing at least one predicted biological function of the sequence of amino acids in the protein; and identifying the predicted biological function of the sequence of amino acids in the protein using the neural network output.
机译:用于预测蛋白质的生物学功能的方法,系统和装置,包括在计算机存储介质上编码的计算机程序。一方面,一种方法包括:获得定义蛋白质中氨基酸序列的数据;使用神经网络处理定义蛋白质中氨基酸序列的数据,其中:神经网络是包括一个或多个扩张的卷积层的卷积神经网络;所述神经网络被配置为根据所述神经网络的训练后的参数值来处理定义所述蛋白质中氨基酸序列的数据,以产生表征所述氨基酸序列中至少一种预测的生物学功能的神经网络输出。蛋白;并使用神经网络输出识别蛋白质中氨基酸序列的预测生物学功能。

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