Sentence examples for identified ligand binding from inspiring English sources

FAST-NMR utilizes the Comparison of Protein Active Site Structures (CPASS) software and database to identify similar sequence and structure characteristics between experimentally identified ligand binding sites for proteins of known and unknown function [8].

Although the primary receptor of GEP has not been identified, ligand binding to cell surface HS may yield a higher local ligand concentration to activate signaling receptor (36).

A molecular structure is an essential source to identify ligand binding sites in orphan human cytochrome P450 4A22 (CYP4A22) that belongs to family 4, which is known to be involved in the regulation of blood pressure.

By employing an energy-based approach to identify ligand binding sites, and comparison with the results of computational solvent mapping, we identified two potential ligandable sites in the active toxin which can be targeted during structure-based drug design against cholera.

This circumstance complicates predictions made by PocketPicker as the method is designed to identify ligand binding sites of limited size for shape comparisons.

We successfully developed and applied the automated pocket detection method PocketPicker to the task of identifying ligand binding sites in proteins, and the task of clustering structurally related binding sites by shape and a buriedness index.

We recently developed the FAST-NMR methodology to discover biochemical functions or functional hypotheses of proteins of unknown function by experimentally identifying ligand binding sites.

A variety of computational methods have attempted to exploit the evolutionary stability of functional regions by identifying ligand binding sites as a method to predict function [4], [5].

In a recent methodological advance it has been shown how it is possible to combine Hamiltonian replica exchange with Monte Carlo ligand translation/rotation moves to simultaneously estimate binding free energies and identify ligand binding sites and orientations.

Such techniques for modeling have shown to yield successful results through analysis of model 5-HT2 A (GPCR) receptors and use of the model for docking studies to identify ligand binding sites.

Ligand specificity is conferred by select residues lining the identified ligand-binding pocket; in HucR and PecS, these residues include amino acids corresponding to W11, D56, and R63, while the relaxed ligand specificity of MftR requires the interaction of bound ligand with distinct residues.