Sentence examples for binding field of from inspiring English sources

For protons or neutrons, which are composite particles, most of the mass arises from the mass equivalent of the internal energy due to the intense binding field of the strong interactions.

Here we provide an overview of the most widely used methods in the field of binding affinity prediction, as well as of our own work in developing BEAR, an innovative methodology specifically devised to overtake some limitations in existing approaches.

The public and political expectations are high for ECEC to show those effects and although there are no binding curricula in the field of German ECEC, the Federal States have focused on introducing educational plans and language support programs over the past years.

Structural information and the determination of the affinity of binding would narrow the field of potential drug targets.

With the proliferation of engineered fluorescent proteins and the abundance of cAMP binding targets in nature, the field of optical reporters for cAMP should continue to see rapid refinement in the coming years.

The technique has played a dominant role in forming the field of synthetic binding protein engineering, where novel interfaces have been generated from libraries built using antibody fragment frameworks and also alternative scaffolds.

As I read article after article, I can't help but think that perhaps your TV persona has clouded your judgment and compromised the Hippocratic Oath that is sacred and binding to those in the field of medicine.

Many researchers have acknowledged the fact that there exists an immense potential for the application of the cellulose-binding domains (CBDs) in the field of biotechnology.

It has been acknowledged that the field of ligand-binding site prediction lacks standardized and widely accepted benchmarking datasets and guidelines [30,31].

Therefore, much effort has been put in the development of advanced scoring methods in the field of DNA-binding site identification [ 153, 154].

In the field of DNA-binding protein identification, many predictors have been proposed, but most of them focus on only one classification algorithm and cannot make full use of the large number of negative samples to improve its performance.