Sentence examples for been predicted to interact from inspiring English sources

In the interaction pattern of GAPDH and EGFR, the protein tyrosine kinase domain of the latter has been predicted to interact with GAPDH.

Predicted solvent accessible positively charged residues appear on the concave side (Figure 8A), the region that has been predicted to interact with the phospholipid membrane.

In this position, the sulfate O1 atom has been predicted to interact with the ND2 atom of Asn-A74, its O2 atom with NE2 atom of His-A398, and its O3 atom via a water molecule with Arg-A265 and Trp-A234 and via two water molecules with Glu-A141, Asp-A361, and Asn-A74 (Fig. 10) [23], [24], [24].

NFYA has been predicted to interact with both ELK4 and ELK1 [ 43].

Although it had been predicted to interact with membranes, we observed that it did not colocalize with mitochondrial, endoplasmic reticulum or lysosomal markers.

Thus a tag on the N-terminus is preferable, as was also found for tagged ACT88F actin in Drosophila (43), although we cannot rule out that it will interfere with myosin binding, since myosin has been predicted to interact with the N-terminus of actin (45).

The adamantyl motif is predicted to interact with the protein through hydrophobic interactions with Tyr 177 and Leu 217.

For the compounds that are predicted to interact with EGF, the putative EGF interactions all involve EGF residues in the region of Lys48-Leu52.

Hypergeometric scoring favors interactions between rare proteins over those between common proteins, because to be predicted to interact, common proteins must be virtually always observed as interacting pairs [ 28].

We have previously utilized computer aided drug design (CADD) to identify low-molecular weight (LMW) compounds that are predicted to interact near the ERK2 CD domain and selectively disrupt ERK2 interactions with substrate proteins [ 17, 18].

We found that 1,079 microRNA-mRNA pairs were significantly correlated (371 negative correlations, 708 positive correlations) using linear mixed effect models (FDR <0.25) and were predicted to interact by at least one of five sequence-based target prediction algorithms.