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In the future, the accuracy of Drug-EvoD can be further improved with additional features, including 3-D structural models of proteins and drug compounds, which will enable us to predict drug efficiency using molecular docking techniques.
The experience of the past can also be used to optimise future treatments as the data generated from patients treated in the past may provide dose response information which can be used in mathematical models and thereby enable us to predict and compare long-term complications of present day treatment, thus guiding the choice of treatment in individual patients [57].
These models, which enable us to predict the isotopologue dependence of the Absorption Cross Section, can be used to determine isotope ratios after photodissociation.
Our in silico prediction of N-terminal proteolytic cleavage sites did not enable us to predict mature kisspeptin from the bird Kiss-like (this study), the crocodilian Kiss2-like [ 33] and the coelacanth Kiss3[ 17], which were excluded from this analysis.
Ultimately, it will enable us to predict events.
ADMA may enable us to predict risk and follow up the course of renal diseases.
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Here, the use of PCTs enabled us to predict all amino acid frequencies simultaneously.
Nevertheless, our imposition of linearity on the relationship between change in pain and change in functional impairment is useful because it enables us to predict and quantify the functional improvement that may be expected to result from successful analgesic treatments.
We show how various socio-economic and infrastructural factors can be combined using the weights of evidence approach which enables us to predict the probability of changes between land use types in different cells of the system.
In silico analyses using the protein subcellular localization prediction software WoLF PSORT (http://wolfpsort.org) enabled us to predict the likely protein localization of each of the different candidate Hsp90s in Populus.
Further analyses using the protein subcellular localization prediction software WoFL PSORT http://wolfpsort.org enabled us to predict the probable protein localization for each of the different candidate OPTs in Vitis and Populus.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com