id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-316968-rowoylge	Zhang, Wenjuan	Using maximum likelihood method to detect adaptive evolution of HCV envelope protein-coding genes	2006		.txt	text/plain	3532	210	50	Maximum likelihood (ML) method with codon-substitution models is a powerful statistic tool for detecting amino acid sites under positive selection and adaptive evolution. We analyzed the hepatitis C virus (HCV) envelope protein-coding sequences from 18 general geno/subtypes worldwide, and found 4 amino acid sites under positive selection. The purpose of this study is therefore to use the ML method [9] to infer adaptive evolution and positively selected amino acid sites of HCV envelope protein entire coding sequences containing all 6 HCV genotypes. We took HCV envelope glycoprotein as an example to explore the adaptive evolution driven by immune environment pressure of coding sequences of 27 HCV containing 18 geno/subtypes and found that a number of amino acid sites were under positive selection and ML could be employed for identifying the adaptive evolution of RNA virus on a large scale of genetic diversity.	./cache/cord-316968-rowoylge.txt	./txt/cord-316968-rowoylge.txt