Sentence examples for secondary computational from inspiring English sources
As the potentiation of synaptic strength increases the local dendritic excitability and subsequent Ca2+ influx [18], the expression level of IA in dendrites and synaptic sites may then be regulated by neurons to initiate secondary computational processing throughout the neuron.
[Author's response: By using two different RNA secondary structure prediction computational packages, we showed that when only the PTC segment was treated as an isolated fragment its predicted structure was identical (but for one base pair) to its native whole ribosome structure.
In this paper we use computational RNA secondary structure prediction to analyze the secondary structure of the RPS17B intron.
In this paper we use computational RNA secondary structure prediction to investigate the secondary structures of wildtype and mutant intron sequences within the S. cerevisiae RPS17B pre-mRNA.
These values are significantly higher than free energies of alternative secondary structures predicted using computational methods that do not incorporate experimental constraints or available phylogenetic information, e.g., −126.05 kcal/mol, using Mfold (Figure 2A).
In this paper we use computational RNA secondary structure prediction to study structural requirements for efficient splicing in yeast.
In addition, 5'UTRs are known to associate with a number of protein factors [ 32, 33] which are likely to have an effect on the structure formation, but these interactions are not currently modelled by computational RNA secondary structure approaches.
The focus is on how to accurately predict typical separating, reattaching and secondary motion at a reasonable computational expense.
Traditional space-time adaptive processing (STAP) is a strategy for clutter suppression in airborne radar, which requires a large number of computational complexity and secondary data.
In this context, this review highlights recent advances in computational resources for secondary metabolites with emphasis on genome mining, compound identification and dereplication as well as databases.
In this paper, we present an overview of RNA computational models for secondary and tertiary structures' predictions and then focus on a recently developed RNA statistical mechanical model the Vfold model.
