Lafontaine I, Lavery R
Laboratoire de Biochimie Théorique, CNRS UPR 9080, Institut de Biologie Physico-Chimique, 13 rue Pierre et Marie Curie, Paris, 75005, France.
Curr Opin Struct Biol. 1999 Apr;9(2):170-6. doi: 10.1016/S0959-440X(99)80024-4.
Collective variable models continue to contribute to our knowledge of nucleic acids. The past year has seen considerable progress both in modelling sequence-dependent effects on nucleic acid conformation and in understanding how proteins or external stresses influence nucleic acid structure. Algorithmic developments have also allowed collective models to be applied to studies of thermal fluctuations and dynamics. For larger systems, models with varying degrees of resolution are being refined and applied to nucleic acids containing hundreds or thousands of nucleotides.
集体变量模型持续增进我们对核酸的了解。过去一年,在对核酸构象的序列依赖性效应进行建模以及理解蛋白质或外部压力如何影响核酸结构方面都取得了显著进展。算法的发展也使集体模型能够应用于热涨落和动力学研究。对于更大的系统,具有不同分辨率程度的模型正在得到完善,并应用于包含数百或数千个核苷酸的核酸研究。