Protein structural class prediction based on an improved statistical strategy.

ABSTRACT:

Background

A protein structural class (PSC) belongs to the most basic but important classification in protein structures. The prediction technique of protein structural class has been developing for decades. Two popular indices are the amino-acid-frequency (AAF) based, and amino-acid-arrangement (AAA) with long-term correlation (LTC) - based indices. They were proposed in many works. Both indices have its pros and cons. For example, the AAF index focuses on a statistical analysis, while the AAA-LTC emphasizes the long-term, biological significance. Unfortunately, the datasets used in previous work were not very reliable for a small number of sequences with a high-sequence similarity.

Results

By modifying a statistical strategy, we proposed a new index method that combines pr

SUBMITTER: Gu F 

PROVIDER: S-EPMC2423446 | biostudies-literature | 2008 May

REPOSITORIES: biostudies-literature