id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_eqp7tonlgvcolfqw4r6j5ps5bi	Li-Cheng Wu	An expert system to predict protein thermostability using decision tree	2009	8	.pdf	application/pdf	6026	745	63	In this research, two features, (E + F + M + R)/residue and charged/non-charged, are found to There are four thermostability classes of protein, psychrophilic, mesophilic, thermophilic (Huang et al., 2004) has identified a general model relating thermostability and ion pairs. specific protein structure and sequence information are available, We have developed a data-mining system to analysis the relationship between protein features and thermostability. builds a model based on given protein features and thermostability From a given feature set for a protein, the model will calculate the thermostability class of protein following these values (AVG.) and standard deviations (STD.) for the four performance indices based on 100 results using 11 features. protein, we use both models to predict the thermostability. An expert system to predict protein thermostability using decision tree An expert system to predict protein thermostability using decision tree An expert system to predict protein thermostability using decision tree	./cache/work_eqp7tonlgvcolfqw4r6j5ps5bi.pdf	./txt/work_eqp7tonlgvcolfqw4r6j5ps5bi.txt