蛋白質二級結構特徵分析與預測

Prediction and Pattern Analysis of Protein secondary structure

邱玠欽(Chieh-Chin Chiu)

指導教授 ： 唐傳義

國立清華大學/電機資訊學院/資訊工程學系/碩士(2007年)

摘要

我們提供了一個根據對PDB資料庫中69534筆蛋白質資料做特徵分析而得的方法，這個方法可以應用在蛋白質二級結構預測工具像是PSIPRED的修正。另外，我們採用了bi-gram和classification的技巧去提昇這個方法修正的準確率。這個方法分析了二十種蛋白質氨基酸與蛋白質二級結構之間的關係，並運用分析出來的結果修正了PSIPRED所預測出來的二級結構。結果顯示了我們的方法對於All-Beta分類的蛋白質特別有效。

關鍵字

蛋白質二級結構預測 ； 統計 ； N-grams ； PSIPRED ； 修正

並列摘要

We purpose a method to refine the protein secondary structure prediction tools such as PSIPRED according the pattern analysis of 69534 protein data stored in PDB database. Besides, we use a bi-gram approach and classification to increase the accuracy of refinement. The method we purposed analyses the relation between twenty kinds of amino acid and protein secondary structures, and use the stasis results to refine the predicted secondary structures which are hard cases for PSIPRED. The experiment result reveals that our method is effective for all-beta entries.

並列關鍵字

Protein Secondary Structure Prediction ； Static ； N-grams ； PSIPRED ； Refinement

參考文獻

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