Sentence examples for binding inferences from inspiring English sources

The objectives of this study were to systematically identify chemokine and chemokine receptor genes in the chicken genome, to name these genes according to existing systematic nomenclature, and to make ligand-receptor binding inferences based on comparative sequence analysis.

The systematic nomenclature for these chicken genes was based on the phylogenetic trees and syntenies of chicken, human, and mouse genes, and ligand-receptor binding inferences were according to [ 37] and [ 38].

Here we explain how such additional information can be used in a principled way to significantly improve TF binding inference.

Although the above probabilistic formulation provides a principled framework for TF binding inference and allows regularization via a Bayesian approach, being built on the same modeling framework as other methods (PSFM motif and Markovian background models), it is also vulnerable to identifying non-functional sites.

HU performed in silico ligand-protein binding inference by chooseLD.

We performed binding inference for two protein systems, HIV-1P and Thrombin.

We demonstrated the algorithm's ability to leverage previously unused structural information to perform binding inference for proteins that do not share significant structural similarity with known systems.

By only requiring local structural similarity, we are able to leverage previously unused structural information and perform binding inference for proteins that do not share significant structural similarity with known systems.

We tested the ability of the algorithm to perform binding inference by training on 650 experimental sub-cavities and then measuring the predictive accuracy on an independent set of 300 different sub-cavities.

According to Gene Ontology definition, "tetrahydrobiopterin binding" can inference the activity of tetrahydrobiopterins which are enzyme cofactors that carry electrons in redox reactions.

Analytical standard errors are not given in the last column because several of the inequality constraints are binding, rendering inference based on the information matrix unreliable These results demonstrate that the point estimates from the standard bivariate ACE model are sensitive to assumptions about the spousal cross-trait genetic correlation.