IMPROVED PARAMETERS FOR PREDICTION OF RNA STRUCTURE
IMPROVED PARAMETERS FOR PREDICTION OF RNA STRUCTURE
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DOI:
10.1101/sqb.1987.052.01.017
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发表时间:
1987-01-01
期刊:
影响因子:
--
通讯作者:
KIERZEK, R
中科院分区:
文献类型:
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作者:
TURNER, DH;SUGIMOTO, N;KIERZEK, R
Complete understanding of the molecular basis of catalysis by an enzyme requires knowledge of the threedimensional structure of the enzyme. Determining sequences of enzymes is much easier than determining structures. Thus, structure determination is a limiting step in understanding structure-function relationships. This limitation is particularly severe in the case of RNA enzymes because it is extremely difficult to crystallize large RNA molecules. In principle, one way to accelerate our understanding of RNA enzymes is to develop methods for reliably predicting structure from sequence. It should be easier to develop such methods for RNA than for proteins because the local interactions determining RNA structures tend to be stronger than those determining protein structure. For example, short, isolated RNA helixes are more stable than their protein counterparts (Freier et al. 1986b; Shoemaker et al. 1987).Prediction of secondary structure is one step toward prediction of three-dimensional structure. Tinoco et al.(1971) developed a method for predicting the secondary structure of RNA that is based on minimizing the free-energy change associated with nearest-neighbor interactions. Applications of this method, however, have been hindered by lack of experimental data providing parameters for the nearest-neighbor interactions. Recent improvements in methods for synthesizing oligoribonucleotides (Neilson et al. 1980; Beckett and Uhlenbeck 1984; Markiewicz et al. 1984; Kierzek et al. 1986) make it possible to greatly expand the database for providing nearest-neighbor interactions. We report improved parameters derived from thermodynamic studies of the stability of short RNA duplexes. The results also provide insight into the strengths of fundamental interactions such as stacking and hydrogen bonding. Comparisons with the threedimensional structure of yeast phenylalanine tRNA suggest that these insights may also be useful for predicting the three-dimensional structure of RNA.