Thus, QSPR models can allow improved understanding and quantification of structure-γCMC trends, direct γCMC predictions, and finally help to design renewable substitutes for petroleum-based surfactants.
We have written simple Python and Perl scripts to perform all the components of the ASPic-GeneID analysis transparently: the parsing of GMAP results, the generation of ESTs clusters, the ASPic intron predictions, and finally the GeneID predictions.
According to the above, this study should solve the pseudo-forward equation and estimate the optimized constants for a reliable prediction and finally verify the fit between predicted and observed data.
In this paper, a multiscale model for the prediction and, finally, optimization of mechanical (elastic) and thermal (heat conductivity) properties of porous building materials is presented.
From this observation, we can conclude that if system analyst uses results based on hybridized technique, then he may have less range of prediction, and finally, he will lead to more sound decisions.
These manual adjustments were based on the sequence similarities, secondary structure prediction, and finally, fold recognition results.
We then looked for studies that reported on control interventions ("intervention or intervention studies") and disease prediction ("sentinel" or "prediction") and finally determined whether there were disease prediction or control studies that were classified as relating to humans, animals, and the environment.
As in the yeast proteome analysis, we used our β-signal independent MBOMP prediction method combined with secondary structure prediction, α-helical membrane protein and signal peptide prediction, and finally manual inspection of annotations to find novel MBOMP (or CBOMP) candidates.
We searched for MBOMPs lacking β-signals in 6470 S. cerevisiae and 35555 A. thaliana proteins found in Uniprot by combining our MBOMP predictor with PSIPRED secondary structure prediction, Phobius α-helical membrane protein and signal peptide prediction and finally manual inspection based on annotation.
We performed the subcellular localization prediction of L. interrogans serovar Lai using the pipeline described in the Material and methods section (shown in Figure 1), following the steps of training set verification, consensus vote, homology and structural prediction, and finally LDA-based classification.
Once this is done the authors should report how many of the results are significant and what the statistics are when using significant predictions only, and, finally, they should highlight specific examples, which would enhance the paper's impact and biological relevance.
