本研究是利用支持向量機器的方法來預測蛋白質中β-turn 的位置. 在僅有蛋白質之胺基酸序列的
情況下找尋有用的特徵向量, 並將這些資訊輸入支持向量機器中, 以此方法來預測蛋白質中哪些 …

Motivation: β-turn is an important element of protein structure. In the past three decades,
numerous β-turn prediction methods have been developed based on various strategies. For …

Motivation: Numerous methods for predicting β-turns in proteins have been developed
based on various computational schemes. Here, we introduce a new method of β-turn …

We evaluated the prediction of β‐turns from amino acid sequences using the residue‐
coupled model with an enlarged representative protein data set selected from the Protein …

Tight turn has long been recognized as one of the three important features of proteins after
the a-helix and ƒÀ-sheet. Tight turns play an important role in globular proteins from both the …

This paper offers a new combined approach to predict and characterize β-turns in proteins.
The approach includes two key steps, ie, how to represent the features of β-turns and how to …

We have developed a method that predicts both the presence and the type of β‐turns, using
a straightforward approach based on propensities and multiple alignments. The propensities …

From both the structural and functional points of view, β-turns play important biological roles
in proteins. In the present study, a novel two-stage hybrid procedure has been developed to …

Motivation So far various statistical and machine learning techniques applied for prediction
of β-turns. The majority of these techniques have been only focused on the prediction of β …

Motivation: With the emerging success of protein secondary structure prediction through the
applications of various statistical and machine learning techniques, similar techniques have …