Waterman M S, Gordon L, Arratia R
Proc Natl Acad Sci U S A. 1987 Mar;84(5):1239-43. doi: 10.1073/pnas.84.5.1239.
Analyses of phase transitions in biopolymers have previously been restricted to studies of average behavior along macromolecules. Extremal properties, such as longest helical region, can now be studied with a new family of probability distributions [Arratia, R., Gordon, L. & Waterman, M. S. (1986) Ann. Stat. 14, 971-993]. Not only is such extremal behavior analyzed with great precision, but new phase transitions are determined. One phase transition occurs when behavior of the free energy of the longest helical region abruptly changes from proportional to sequence length. The annealing of two single-stranded molecules and the melting of a double helix are both considered. These results, initially suggested by studies of optimal matching of random DNA sequences [Smith, T. F., Waterman, M. S. & Burks, C. (1985) Nucleic Acids Res. 13, 645-656], also have importance for significance tests in comparison of nucleic acid or protein sequences.
此前,对生物聚合物相变的分析仅限于对沿着大分子的平均行为的研究。诸如最长螺旋区域等极值特性,现在可以用一族新的概率分布来研究[阿拉蒂亚,R.,戈登,L.和沃特曼,M. S.(1986年)《统计学年鉴》14卷,971 - 993页]。不仅能极其精确地分析这种极值行为,还能确定新的相变。当最长螺旋区域的自由能行为从与序列长度成比例突然变化时,就会发生一种相变。对两条单链分子的退火和双螺旋的解链都进行了考虑。这些结果最初是由对随机DNA序列的最佳匹配研究提出的[史密斯,T. F.,沃特曼,M. S.和伯克斯,C.(1985年)《核酸研究》13卷,645 - 656页],在核酸或蛋白质序列比较的显著性检验中也具有重要意义。