卷积神经网络
计算机科学
人工智能
蛋白质数据库
机器学习
模式识别(心理学)
支持向量机
集合(抽象数据类型)
二进制数
蛋白质数据库
二元分类
人工神经网络
深度学习
数据挖掘
蛋白质结构
数学
化学
算术
立体化学
生物化学
程序设计语言
作者
Damiano Perri,Marco Simonetti,Andrea Lombardi,Noelia Faginas‐Lago,Osvaldo Gervasi
标识
DOI:10.1007/978-3-030-87016-4_29
摘要
In this work we set out to find a method to classify protein structures using a Deep Learning methodology. Our Artificial Intelligence has been trained to recognize complex biomolecule structures extrapolated from the Protein Data Bank (PDB) database and reprocessed as images; for this purpose various tests have been conducted with pre-trained Convolutional Neural Networks, such as InceptionResNetV2 or InceptionV3, in order to extract significant features from these images and correctly classify the molecule. A comparative analysis of the performances of the various networks will therefore be produced.
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