复式(建筑)
序列(生物学)
熔化温度
化学
DNA
k-最近邻算法
碱基对
理论(学习稳定性)
DNA测序
热力学
物理
材料科学
生物化学
人工智能
计算机科学
复合材料
机器学习
作者
Richard Owczarzy,Peter M. Vallone,Frank J. Gallo,Teodoro M. Paner,Michael J. Lane,Albert S. Benight
出处
期刊:Biopolymers
[Wiley]
日期:1997-01-01
卷期号:44 (3): 217-239
被引量:183
标识
DOI:10.1002/(sici)1097-0282(1997)44:3<217::aid-bip3>3.0.co;2-y
摘要
Many important applications of DNA sequence-dependent hybridization reactions have recently emerged. This has sparked a renewed interest in analytical calculations of sequence-dependent melting stability of duplex DNA. In particular, for many applications it is often desirable to accurately predict the transition temperature, or tm, of short duplex DNA oligomers (∼ 20 base pairs or less) from their sequence and concentration. The thermodynamic analytical method underlying these predictive calculations is based on the nearest-neighbor model. At least 11 sets of nearest-neighbor sequence-dependent thermodynamic parameters for DNA have been published. These sets are compared. Use of the nearest-neighbor sets in predicting tm from the DNA sequence is demonstrated, and the ability of the nearest-neighbor parameters to provide accurate predictions of experimental tm's of short duplex DNA oligomers is assessed. © 1998 John Wiley & Sons, Inc. Biopoly 44: 217–239, 1997
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