Sentence examples for binding we generated a from inspiring English sources

To define the amino acids of L22 required for RNA binding, we generated a series of N-terminally fused GFP-L22 expression constructs in which regions of L22 likely to be involved in RNA binding were mutated (Fig. 2A).

To identify molecular specificity determinants that mediate dsRNA binding, we generated a RNA binding footprint based on a set of protein−RNA interaction persistence times.

To predict critical sites in mouse Wnt3a required for Fz binding, we generated a structural model of the mouse Wnt3a-Fz8-CRD complex adopting the recently published X-ray structure.

To identify the contribution of the diverse Mx2 domains to capsid binding, we generated and screened a series of deletion constructs of Mx2 with an N-terminal His-Sumo-tag (Fig. S1A) and characterized the expression, solubility, stability, and oligomerization behavior of these constructs (Table S1).

To assay for membrane binding, we generated liposomes with an average radius of ∼150 nm.

To investigate whether the lysine residues contribute to PI 4,5 P2 binding, we generated K478A, K480A, and double (K478/480A) mutants.

To study the relationships between CD4 independence, neutralization sensitivity, and exposure of CD4-induced epitopes associated with the coreceptor binding site, we generated a large panel of Env mutants and chimeras between 8x and its CD4-dependent parent, HXBc2.

For binding studies, we generated a monomeric and a trimeric fusion protein of the scFv variant of l αhCD70 with the Gaussia princeps luciferase (GpL).

To identity STAT6 binding sites, we generated a total of 19 099 520 and 18 981 052 36-bp sequence ChIP Seq tags in Ramos and BEAS2B cells, respectively (Tables  1– 3).

To analyze the specificity of presence of AP-1 and SP1 binding sites, we generated a set of 100 random 1 kb sequences, which were analyzed in the same way, as our primary dataset.

To further demonstrate PDA's utility in studying systems biology and structure-based transcription factor binding site prediction, we generated a non-redundant dataset with protein-DNA complex structures that are involved in gene regulation.