Sentence examples for sequences and interaction from inspiring English sources
The current version of PyBioMed could calculate 775 chemical descriptors and 19 kinds of chemical fingerprints, 9920 protein descriptors based on protein sequences, more than 6000 DNA descriptors from nucleotide sequences, and interaction descriptors from pairwise samples using three different combining strategies.
Note that protein-DNA complexes may have dissimilar DNA sequences and interaction patterns even though the protein sequence identity is over 50% [ 4].
Our hybrid comparison method called graph alignment establishes a mapping between genes of two species [ 7] using a probabilistic scoring system based on evolutionary rates of sequences and interaction networks.
Moreover, the IVV test can be applied not only to in vitro selection of PPIs but also to the detection of protein-DNA, protein-RNA, and protein-chemical compound interactions [ 68]; this suggests that IVV-HiTSeq could become a universal tool for exploring protein sequences and interaction networks [ 47].
We were not able to map some of the identified preys to protein coding sequences, and interactions containing those preys were removed.
With its interactive network browser, LinkinPath allows users to browse and access the network characterization and the associated information such as the number of input sequences and interactions involved in a pathway node and the list of input sequences that appear in single or multiple pathways.
This would require a tuning of the sequences and interactions of the IH1 and IH2 coupling loops and possibly the cytoplasmic extension of TMs, regions hypothesized to form the transmission interface between the NBDs and TMDs of ABC transporters (Hollenstein et al., 2007; Oancea et al., 2009; Loo et al., 2013).
The developed FE model provided a correct prediction of the material's flexural response and successfully simulated the sequence and interaction of damage modes observed experimentally.
The sequence and interaction effects between rotational and translational DoF of the end-effector were analyzed to describe the exact kinematic mobility.
The sequence and interaction of the tasks and artifacts will ensure the EIM recommendations are auditable and the recommendations are based on living documents which will add value in the future vs. sit on a shelf.
A mixed model was built with treatment, period, clinical center, sequence, and interaction of treatment center as fixed factors and patient within sequence as random factor (carry-over effect).
