Sentence examples for analyses predict that the from inspiring English sources

Structure-based sequence analyses predict that the ASD defines a common structural fold among predicted group IV anti-σs.

In fact, computational analyses predict that the membrane topology of insect ORs, exemplified by those of Drosophila melanogaster, is reversed relative to canonical GPCRs, with the N-terminus being intracellular and the C-terminus being extracellular [3], [4].

Likelihood analyses predict that the MAR4 PTases were acquired via multiple HGT events (Fig.  4).

Bioinformatics analyses predict that the majority of human genes undergo alternative splicing, generating proteins – many of which may have regulatory functions.

Bioinformatics analyses predict that the majority of human genes undergo alternative splicing, suggesting that alternative splicing is a significant component in generating diversity of function in the human genome [ 11].

Even if no transporter is present in S. cerevisiae, the possibility that human cells may contain specific transporters for these drugs cannot be excluded, since bioinformatic analyses predict that the human genome encodes 1022 transporter proteins, compared with yeast's 318 [ 60].

The results of frictional analyses predict that this stick-slip feel is caused by a drastic change in frictional resistance.

The consensus threonine amino acid at position 992 is completely invariant across vertebrates to zebrafish and both Polyphen and SIFT analyses predict that this change is damaging.

In silico analyses predict that these three miRNAs regulate genes involved in endothelial cell cycle, apoptosis, VEGF signaling, LPS-stimulated MAPK signaling, and nuclear factor kappa B signaling.

In silico analyses predict that these three miRNAs modulate several pathways important to endothelial cell function including: cell cycle regulation, apoptosis, barrier integrity, lipopolysaccharide (LPS -mediated signaLPS -mediatedκB signaling.

Accurate health care analyses predicted that the rise of superspecialisation would have resulted in an increase in the number of operations performed and corresponding health care costs, and no better patient satisfaction.