It is well established that the function of a peptide depends on its structure, thus it is important to predict the tertiary structure of a peptide from its primary amino acid sequence.
Observation of dynamin-GDP and nucleotide-free tubes suggest that dynamin 1 remains essentially in an extended conformation although, without a lipid-free structure, it is difficult to predict whether dynamin 1 folds into a more compact structure like BDLP when not polymerized.
It is possible to predict the structure of a protein with high accuracy if previous experiments have revealed the structure of a similar protein.
Experimentally, the structure factor provides evidence for the long-range ordering of ILs with microheterogeneous structures; therefore, it is mandatory to predict it theoretically for our systems as well.
The model classifies the tar compounds in groups, according to their structure, and it is able to predict the experimental results with reasonable accuracy.
It is difficult to predict pseudoknot structures by free energy minimization, however, because the inclusion of pseudoknots greatly complicates algorithms for predicting secondary structure (32− 37, 65) and little is known about the sequence dependence of pseudoknot stability.
Thus, it is sensible to predict that the structure formation of resulting films can be straightforwardly controlled by altering the spin coating rate.
Secondary and tertiary structures of RNA predicate function, and because these rules also apply to RNA, with the substitution of U for T, it is possible to predict potential secondary structures from a linear sequence of RNA by identifying putative base-pairing partners (Leontis and Westhof, 2001).
The ensuing curved planform is of great interest both as a peculiar landform and in the context of engineering projects in which it is necessary to predict how a coastal structure will affect the sandy shoreline in its lee.
Therefore, for the design of the new construction of the form block and for seismic retrofit, it is essential to predict the appropriate compression structure of block walls.
Due to the relatively low accuracy and heavy computation cost of de novo structure prediction, it is not feasible to predict the structure of all T4S effectors with high precision.
