Our predictions indicate that existing HIV-1 protease inhibitors, l-700,417 for instance, have high binding affinities and may provide good starting points for designing SARS CoV proteinase inhibitors.
Our predictions indicate that both IPTi and IPTc can be cost-effective interventions in a range of settings.
Our predictions indicate the existence of spatial variation in plant recruitment and dispersal distance (i.e. in potential plant fitness; Figure 4), arising exclusively from their spatial position in relation to lizard territories-rather than from individual variation in certain plant traits (such as fruit production; [13]).
Our predictions indicate that, on average, the number of targets for a single miR across a genome equals 9,613.
Here, we used ANIA to study the human kinome, and our predictions indicate that 14-3-3s 14-3-3s 14-3-3sth up to 40% of humay kinteract
However, our predictions indicate that tRNASer1 and tRNAAsn in C. quiscali, tRNALys and tRNAPro in L. loa, tRNATrp in O. flexuosa and tRNAPro in W. bancrofti may contain both the TΨC and D loops.
If instead we consider that the influenza pandemic arrived in the UK during school term, our predictions indicate that the risk of a major epidemic with community and spatial transmission was expected to be very high even during summer period, as observed in the country.
Our predictions indicate that, for the same assortativity values, there exists a range of values of the epidemic transmission potential that is compatible with epidemic containment in Mexico, whereas Europe may experience spatial propagation of the disease (see Figure 6B for R0 = 1.05).
In addition, our prediction indicates that crp genes in modern cyanobacteria are likely inherited from a common ancestral gene in their last common ancestor, and have adapted various cellular functions in different environments, while some cyanobacteria lost their crp genes as well as CRP binding sites during the course of evolution.
Comparison of our current operon predictions to our previous predictions indicated a good agreement between the two sets.
As shown in Table 3, our computational predictions indicated that tRF5-ValGTG and tRF5-GlyGCCtRFs have the potential to interact with transcripts associated with endothelial barrier function, host cell inflammatory response, and autophagy.
