生物信息学Issue(3)：196-205,10.DOI:10.3969/j.issn.1672-5565.2014.03.08
用于寡核苷酸二级结构预测的热力学数据库研究进展
Research progress of the thermodynamic database for oligonucleotide secondary structure prediction
摘要
Abstract
The nucleotide hybridization based molecular biological technologies like PCR have been widely used in many fields, such as pathogenic microorganism detection, clinical diagnosis. And the accurate prediction of secondary structures between oligonucleotide and its binding sites is the key to these technologies. The Nearest-Neighbor Model based on thermodynamics is the most accurate method to predict oligonucleotide secondary structure, and the precision mainly depends on the thermodynamic parameters. Meanwhile, the diversity of secondary structure requires different thermodynamic parameters for different motifs, including perfect matches, mismatches, internal loops, bulge loops, dangling ends, CNG repeats, and GU wobble base pairs. Therefore, this review summarized the current parameter sets available for oligonucleotide secondary structure prediction. We also pointed out the limitations and future development directions of the thermodynamic database.关键词
寡核苷酸二级结构/热力学数据库/热力学计算Key words
Oligonucleotide secondary structure/Thermodynamic database/Thermodynamic calculation分类
生物科学引用本文复制引用
刘哲言,屈武斌,张成岗..用于寡核苷酸二级结构预测的热力学数据库研究进展[J].生物信息学,2014,(3):196-205,10.基金项目
国家自然科学基金课题（30900862，30973107，81070741，81172770，31371345）；国家重点基础研究发展计划（973计划）课题（2012CB518200）；蛋白质组学国家重点实验室自主研究课题（SKLP-O201104， SKLP-K201004， SKLP-O201002）资助。 （）
