Sentence examples for using computational approaches to from inspiring English sources
Recent modeling efforts to increase the fracture resistance of intermetallic and in-situ composites using computational approaches to identify alloying effects are summarized.
This study underscores the potential of rational vector design using computational approaches to improve their robustness and therefore allows for the use of lower and thus safer vector doses for gene therapy, while maximizing therapeutic efficacy.
Firstly, the hypothesis can be tested by using computational approaches to predict the structural properties of candidate GCs and testing should include automated substrate (GTP) docking protocols.
These results prove the feasibility of using computational approaches to reliably perform different named entity recognition (NER -dependent tasks, such as for iNER -dependenttaskseading or suchntic seasches.
The presented opinion provides a high level overview of previously published data identifying agents with potential efficacy and the opinion appropriately expands the concept to using computational approaches to identify other drugs with potential activity.
Motivated by the high cost of human curation of biological databases, there is an increasing interest in using computational approaches to assist human curators and accelerate the manual curation process.
In this work, gold based quartz crystals were modified with synthetic oligopeptides, designed as biomimetic traps using computational approach, to obtain piezoelectric sensors selective to the dioxins.
The last solution is to use computational approaches to identify and remove contaminated DNA after sequencing.
They use computational approaches to study macromolecules and their interactions, for example, by simulating how two proteins dock with each other.
In this paper we detail known structures of the renin-angiotensin system and use computational approaches to estimate and model components that do not have their protein structures defined.
Genomics can also be considered a subfield of bioinformatics, which uses computational approaches to analyze large sets of biological data.
