Sentence examples for attributes of compounds from inspiring English sources

The method based on chemical interaction described in Section 2.3 is popular for predicting various attributes of compounds [ 13, 14].

Since gene ontology, the established ontology information about proteins, is deemed as a very useful tool for investigating various attributes of proteins [ 16– 21], similarly, the ontology information of compounds may also facilitate the study of various attributes of compounds.

It consists of four subontologies: (1) Molecular Structure, (2) Biological Role, (3) Application, and (4) Subatomic Particle, which may be suitable for the prediction of various attributes of compounds.

This task measures the ability to attend to specific attributes of compound stimuli, shifting attention from one attribute to another when required.

The total error score (adjusted) was used, measuring the subject's efficiency to attend to specific attributes of compound stimuli (e.g. a line and a shape), then shift attention from one attribute (e.g. select the shape) to another (e.g. now select the line).

Furthermore, their information can also be used to infer the attributes of novel compounds [ 5, 7, 8, 13– 15].

Hypotheses can capture different attributes of a compound relevant to the target endpoint.

History of allergic reactions attributed to compounds of similar chemical or biological composition to sunitinib or everolimus.

In fact, earlier studies made on the inhibitory capacity of human serum showed that two-thirds of the inhibitory potential of the serum studied was due to proteins and other macromolecules of high molecular weights while the other one-third of the inhibitory capacity could be attributed to compounds of low molecular weights [62].

In recent years, the idea of "systems biology" is penetrating into the prediction of various attributes of proteins and compounds and is considered to be very useful [ 13, 14, 23– 25].

Like the cases of dealing with multilabel classification problems such as predicting multiple attributes of protein or compounds [ 16, 22, 23], the proposed method would provide the prediction results by ranking the candidate indications from the most likely one to the least one.