The curve SD score depends on an individual factor combining the effect of dose and growth, the 'Response Score', and time on treatment, making prediction possible when the first-year growth response is known.
This allows researchers to explain experimental findings in great detail, as well as to make predictions about possible new structures and materials with interesting behavior.
This allows one to make predictions on possible modifications to the pathways so that a desired behavior is obtained from the system.
In a similar fashion, for the purpose of assessing our method we were unable to include the COGs with unknown function, but ideally we would like to extend this method to make predictions regarding possible functions of these uncharacterized COGs on the basis of the phenotypes they are most associated with.
In cases where only one form has been observed by X-ray crystallography, it is possible to make predictions concerning the possible existence of another form in solution by carefully examining the vector displacements predicted for the lowest frequency normal modes.
We then make predictions for additional possible links where interactive network structure is less clearly resolved.
Overall, our results indicate that an alternative approach to the TOL such as clanistics can easily sort out a forest of trees and make predictions regarding the possible implication of some gene families in pathogenicity and even specific diseases.
In addition, based on a wide range of metazoan genome data, the structure, distribution and evolution of pacifastin genes among metazoan species were studied in an attempt to make predictions concerning the possible 'origin' of the ancestral pacifastin gene.
Predictive mycology should include a number of isolates to generate data to build predictive models and take into account the genetic diversity of the species and thus make predictions as similar as possible to real fungal food contamination.
The advances in high-speed computing make predictions of buffeting flows possible.
With these virtual tests it is possible to make predictions for a single layer within a textile preform or for multiple textile layers at once.
