Sentence examples for distinguishing compounds from inspiring English sources
The law of constant proportions gave a criterion for distinguishing compounds from genuine mixtures.
Furthermore, the development of models capable of distinguishing compounds capable of activating T-cells need to be developed.
The web interface facilitates this process by distinguishing compounds that are present in user specified KEGG genome reconstructions from those generated by computational means, hence allowing users to consider the most probable isomers first.
When only a few descriptors are being considered, it may be possible to restrict the applicability domain to "internal" regions in the descriptor space, but as the number of descriptors increases distinguishing compounds that lie "outside" the space defined by the training set from those that are "inside" becomes progressively less meaningful.
169,889 and 240,322 transformation size-restricted MMPs based upon retrosynthetic rules with K i and IC 50 values, respectively, are systematically extracted from available AC. Different from the retrosynthetic rule-based MMPs presented above, applied transformation size-restrictions ensure that chemical changes distinguishing compounds in pairs are small.
Furthermore, it should be noted that the (unfiltered) room-air levels of all three distinguishing compounds were in the order of magnitude of the concentrations in the breath samples, and in the case of ethanol even slightly exceeded the breath concentrations (see Table 2).
For examples, in 2009, Anne Mai Wassermann et al. utilized a Support Vector Machine (SVM -based ranking method to diSVM -basedcompounds [8]; in 2010, Shivani Agaranking al. introduced a bipartite ranking method on a relatove small set of distinguishty data [1]; in the following year, Fabian Rathke et al. presented Strucompounds] which has shown competitive performance with traditional VS methods.
Our assay distinguishes compounds selecting directly against specific resistance mechanisms and compounds whose selection against resistance is based on their physiological interaction with tetracycline and is more general with respect to resistance mechanism.
These data sets also represent test cases for machine learning to distinguish compounds with different activity profiles or mechanisms.
Even if the molecular target of the perturbation is unknown, this assay can be adapted or used to distinguish compounds that specifically inhibit or potentiate cell migration.
The fact that it was not active against hypnozoite forms highlights the assay's expected ability to distinguish compounds that are active only against large EEFs.
