项目作者： nickcafferry
项目描述 ：
PSSpred (Protein Secondary Structure prediction) is a simple neural network training algorithm for accurate protein secondary structure prediction. It first collects multiple sequence alignments using PSI-BLAST. Amino-acid frequence and log-odds data with Henikoff weights are then used to train secondary structure, separately, based on the Rumelhart error backpropagation method. The final secondary structure prediction result is a combination of 7 neural network predictors from different profile data and parameters. The program is freely downloadable at the bottom of this page.
高级语言： Perl
项目地址: git://github.com/nickcafferry/PSSpred.git
