An exact description of five-membered ring configurations. II. Applications to furanose rings in DNA and RNA, analysis of errors, and bond angle bending energy.
An exact description of five-membered ring configurations. II. Applications to furanose rings in DNA and RNA, analysis of errors, and bond angle bending energy.
复制标题
五元环构型的精确描述。
DOI:
10.1080/07391102.1993.10508698
复制
发表时间:
1993
影响因子:
4.4
通讯作者:
Day,LA
中科院分区:
文献类型:
--
作者:
Marzec,CJ;Day,LA
The method developed in Paper I (the preceding paper in this issue) for the exact parameterization of the five-atom furanose ring has been applied to rings in macro- molecular structures. The data include coordinates for 322 rings in A- and B-form DNA; 60 rings in Z-form DNA; 29 rings in RNA molecules; and 53 rings in two specific DNA-protein complexes. Characteristic distributions of internal coordinates [q, P, S, Γ; {bj}] for the macromolecular data sets are found to be closely similar to the corresponding distributions for the small molecule data sets, even though the uncertainties in the atomic coordinates are larger for the larger molecules. To aid in the interpretation of such data rules of thumb are given. It is shown, analytically, that the distribution of the direction angle Γ is largely determined by the bond angle bending potential. This analytical result is fully confirmed by the data, which show that the average Γ value is roughly near 90°. The experimentally observed Γ for each ring tends to fall near the theoretical Γmincalculated for it by minimizing the bond angle bending potential while holding the other internal parameters constant. Such unmistakable trends are discernible by considering large data sets using the full parameterization. The effects of uncertainties in the input Cartesian coordinates are treated, and it is shown that the new parameters S and Γ are more sensitive to error than are q and P, but that the uncertainties in S and Γ decrease when S is large. The Jacobian J of the transformation from Cartesian coordinates to the coordinates [q, P, S, Γ; {bj}] is calculated. The Jacobian, which can be used in statistical studies, aids in understanding the sampling of configuration space, the distribution of S values, and the propagation of error.