Sentence examples for mutagenesis data have from inspiring English sources

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Molecular modeling and mutagenesis data have consistently suggested the presence of two adjacent potential sites of binding for different classes of allosteric modulators of the human Ca2+ receptor – a member of class C – located within the upper part of the helical bundle.

Functional studies and mutagenesis data have implicated residues in both the N- and C-termini of the cytoplasmic domain in PIP2 binding (e.g., refs (12− 12−).

The large amount of structural information together with site-directed mutagenesis data have been used to elucidate the mechanistic functions of the residues at the catalytic center of CGTases (e.g., donor subsite -1) (Nakamura et al. 1993; Leemhuis et al. 2003c; Klein et al. 1992; Haga et al. 2003).

Similar(57)

These data have prompted some to propose limiting both vector copy number as well as transduced stem cell dose to reduce the risk of insertional mutagenesis [10].

At the same time, unlike the case of stability mutagenesis for which databases such as ProTherm [ 36] are already available, or reactivity mutagenesis for which some datasets have been assembled [ 5], solubility mutagenesis data with structural information has not been presented in a unified manner previously.

The history of work on the Cairns system is remarkable in that a large body of excellent data has accumulated and been interpreted in two diametrically opposed ways mutagenesis and selection.

Isolation and mutagenesis data for this strain have been described in a previous study [ 13].

The in vitro RNA binding assays and point mutagenesis data suggest that Gadd45a has moderate affinity for nonspecific RNAs and high affinity for specific RNAs.

However, a review of published Salmonella mutagenesis data sets (Supplementary Table S2) has so far failed to suggest a suitable system to study SroC effects in the nutrient-poor environment of bacterial hosts.

Finally, this is the first time to our knowledge that mutagenesis data from a murine cancer model have been integrated with human expression networks to explore biological mechanisms of tumourigenesis.

The authors have chosen to present the mutagenesis data first and the structural results second.

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