Zimmermann K, Gibrat J F
Unité de Bio-Informatique, INRA, Jouy-en-Josas, France.
Protein Eng. 1998 Oct;11(10):861-5. doi: 10.1093/protein/11.10.861.
We present a method whose purpose is to post-process the fuzzy results of secondary structure prediction methods that use multiple sequence alignments, in order to obtain 'realistic' secondary structures, i.e., secondary structure elements whose length is greater than or equal to some predefined minimum length. This regularization helps with interpretation of the secondary structure prediction.
我们提出了一种方法，其目的是对使用多序列比对的二级结构预测方法的模糊结果进行后处理，以获得“真实的”二级结构，即长度大于或等于某个预定义最小长度的二级结构元件。这种正则化有助于二级结构预测的解释。
