神经网络方法预测蛋白质二级结构  

Neural Network Method for Protein Secondary Structure Prediction

作　　者：闫化军[1] 傅彦[1] 章毅[1] 李毅超[1] 

机构地区：[1]电子科技大学计算机科学与工程学院,成都610054

出　　处：《计算机科学》2003年第11期48-52,共5页Computer Science

摘　　要：1引言 蛋白质存在于所有的生物细胞中,是构成生物体最基本的结构物质和功能物质,它参与了几乎所有生命活动过程.蛋白质由氨基酸缩水聚合而成,自然界存在20种天然氨基酸,每种氨基酸可由一个大写英文字母表示.The explosive accumulation of protein sequences in the wake of large-scale sequencing projects is in shark contrast to the much slower experimental determination of protein structures. Neural Networks have been successfully applied into the prediction of protein structures, and the prediction accuracy continues to rise. This paper introduces the basic methods and technologies of the prediction of protein secondary structures using neural networks, especially expounds the two aspects: the improvement of neural network architecture and the adding of 'evolutionary' information, which lead the ascent of prediction accuracy

关 键 词：神经网络 蛋白质二级结构 正交编码 序列信息 多模神经网络 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程] Q518.1[自动化与计算机技术—控制科学与工程]