Sentence examples for tasks of protein from inspiring English sources

Binary coding is the most popular representation scheme for machine learning tasks of protein data [ 5, 6] and was utilized as a benchmark of comparison to rAAindex encoding.

One of the fundamental tasks of proteins is to act as enzymes [15], i.e., biological catalysts that increase the rate of practically all chemical reactions that are taking place within cells.

Therefore, combining multiple specificities within a single protein may simplify the task of protein transport.

The task of protein functional properties prediction has been explored widely (e.g., see an extensive review on this task for overviews [ 1]).

So an approach based on protein homology is a fast, approximate and a primary way used to tackle such a daunting task of protein function prediction.

The improved classification suggests that this higher-level description of the network topology contains useful information for the task of protein function prediction.

From this viewpoint, the task of protein functional properties prediction can be cast into the collective classification problem of learning a predictive model from PPI networks.

The task of protein function prediction can be cast into the collective classification problem of building a predictive model from networked data.

The network-based methods study the task of protein functional properties prediction in the context of PPI networks based on the assumption that the interaction partners of a protein are likely to share similar functions with it.

Of particular relevance to the task of protein function prediction is the presence of 'promiscuous' domains domains found in many different combinations (kinase domains are a well-known example of this class) [ 9].

We thus view the task of protein subcellular multi- location prediction as that of developing a classifier (typically learned from a dataset D of proteins whose locations are known) that given a protein P outputs a q-dimensional location-indicator vector that represents P's localization.