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All predicted peptide sequences were profiled against the PFAM 27.0 database [ 48] for general functional domain assignment.
While this approach is not suitable for making conclusive statements regarding single, specific enzymes, it is appropriate for general functional comparisons between groups of samples, as is the case in this report.
The R category for "General functional prediction only" (typical prediction of biochemical activity), which has the most number of genes (1,785), indicates that these proteins were not unambiguously assigned to a certain group.
Among these categories, the cluster for "general functional prediction only" (18.39 %) represented the largest group, followed by "post-translational modification, protein turnover, chaperon" (12.69 %), "signal transduction" (10.08 %) and "transcription" (7.02 %).
The resulting database of genes and their functions will serve as reference for studies on the interaction between genes and the environment, for studies on the mechanisms by which fitness is affected by habitat degradation and habitat fragmentation, and for general functional evaluation of selection signals discovered with the methods outlined below.
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This observation has been cited to justify using four-noded tetrahedral models built with large numbers of elements (>1,000,000) as being sufficient for the general functional questions being asked.
This characteristic of WDRs allows for three general functional roles.
We also note that the parametric models used above were specified primarily to simplify the exposition, and it is possible to more formally motivate the parametrization for the linear regression (1) using nonparametric arguments along the lines of Robins et al. (7), allowing for a more general functional form for the models and also incorporating covariates.
One important application of sequence similarity networks is using them to form general functional hypotheses for sequences whose molecular functions are unknown.
The aim of this paper is to investigate properties of solutions for the following more general functional equations arising in dynamic programming of multistage decision processes: (1.3).
Peptide groups within a single cell will be enumerated by indices α, β, etc. that may take values 0, 1, 2. The general functional for the alpha-helix in this model has the form [7] E R, A = 1 2 ∑ n α ∑ m β { w R n α − R m β + { D R n α − R m β A α n 2 + M n α, m β A β m * A α n } } /. w(R nα − R mβ ) in this functional is the basic energy of interaction between peptide groups nα and mβ.
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