摘要
通过对影响抗菌肽活性因子的分析,确定可量化的因子参数,并对已有抗菌肽的活性因子数据进行统计分析,得到参数取值范围。采用Java技术,对已有抗菌肽序列进行剪切拼接,得到新肽。根据参数取值范围判断新肽,是否有活性,并进行功能预测,同时对抗菌肽构建三维空间结构图。分析证明,亲水端正电荷量是四类抗菌肽具有抗菌活性的重要共性;疏水氨基酸残基百分比和α-螺旋百分比两因子对区分四类抗菌肽功能效果显著。
This paper determines the parameters of quantization factor through analyzing the impact of antimicrobial peptide activity factor.Then,it analyzes activity factor data of existing antimicrobial peptide,and obtains range of parameters.To get new peptide,it shears and links existing antimicrobial peptides＇ sequence by using Java technology.At last,according to the parameter range it predicts activity and function of new peptide.At the same time,it builds the three-dimensional structure of antimicrobial peptide.The results show that net charge of four antimicrobial peptides is identical;however,it is essential to antibacterial activity.Hydrophobic residue% and α-helix% have significant effect on distinguishing four types of antimicrobial peptides.
出处
《计算机与现代化》
2013年第2期138-142,共5页
Computer and Modernization
基金
高等学校博士学科点专项科研基金资助项目(20110008110002)
国家自然科学基金资助项目(31272476)
关键词
Α-螺旋
活性因子
活性预测
功能预测
抗菌肽
3D结构
α-helix
activity factors
activity prediction
function prediction
antimicrobial peptides
three-dimensional structure
