We also designed a segment template similarity-based prediction engine for searching similar segments as templates for the target sequence against a locally constructed structure data pool.
In MemBrain-Rasa, we designed a segment template similarity-based prediction engine, which is effectively combined with the machine learning engine to improve the performance.
A typical merit of MemBrain-Rasa is its hierarchical prediction model by combining supervised SVR model with a segment template similarity-based approach as the whole computational framework to deal with RASA prediction problem.
The module of MemBrain-Rasa software is a combination of machine learning-based engine and the segment template-based module, which can solve the prediction preference problem caused by the pure machine learning-based model.
We quantified the viral RNA using a standard curve generated using S-segment templates of known copy number.
We tested the microsphere quantitative PCR system with up to three different target genes (Neisseria meningitides porA and ctrA and influenza A M gene segment) as templates in a single PCR tube.
Therefore, it can be inferred that a particular segment of template rDNA was amplified and isolated by agarose gel electrophoresis.
In order to take the advantage of the solved structures, we organized a local database of residue relative solvent accessibility surface area from the protein data bank (PDB), which is applied to search similar segments as templates for the target sequence against the local data pool.
Meanwhile, splicing would quickly move the transcribed sequence away from the corresponding segment of template DNA, effectively avoiding R-loop formation.
For the purpose of modelling, the ICL3 segments of GPCR templates have been adjusted to match the length of TSHR TMD ICL3, except for squid rhodopsin template.
A uridine-rich region located at position 17 to 22 at the 5′ end of each segment is the template for the poly A tail present at the 3′ end of each mRNA (Desselberger et al., 1980).
