sequence spaces in a sentence
Sentences
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- This set is dense in many sequence spaces.
- Then the RosettaDesign software was used to find optimal sequences in the selected sequence space.
- Note that and equal the identity operator on the sequence space, and denote the-fold composition.
- The sequence space has one dimension per amino acid or nucleotide in the sequence leading to highly dimensional spaces.
- A fitness landscape is simply a sequence space with an extra vertical axis of fitness added for each sequence.
- The more overlap between different activities in sequence space, the more cryptic variation for promiscuous activity will be.
- This sequence space is regarded as a superset of the reals by identifying each real with the corresponding constant sequence.
- Most sequences in sequence space have no function, leaving relatively small regions that are populated by naturally occurring genes.
- One can compare this with the fact that the sequence space " l " " is not separable.
- There exists only one topology to turn a sequence space into a Fr閏het space, namely the topology of pointwise convergence.
- It's difficult to see sequence spaces in a sentence .
- The degree of interpenetration of the two networks will determine how common cryptic variation for the promiscuous activity is in sequence space.
- Finally, CRISPRi possesses a much larger targetable sequence space; promoters and, in theory, introns can also be targeted.
- A similarity measure in sequence space between a segment ( p ) and a cluster of segments ( q ) is defined as:
- To trace the evolution of sequences, Trifonov and Zakharia Frenkel introduced a concept of protein sequence space based on the protein modules.
- The degree of interpenetration of two activities in sequence space will determine how easy it is to evolve from one activity to another.
- Then, the sequence spaced was selected based on evolutionary information, solubility, similarity with the wild-type, and other considerations.
- The two-sided ideals of bounded operators on an infinite dimensional separable Hilbert space and the Calkin sequence spaces are in bijective correspondence.
- Evolution can be visualised as the process of sampling nearby sequences in sequence space and moving to any with improved fitness over the current one.
- The density of functional proteins in sequence space, and the proximity of different functions to one another is a key determinant in understanding evolvability.
- The most important cases are sequences of real or complex numbers, and these spaces, together with linear subspaces, are known as sequence spaces.
Neighbors
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Last modified time: Mon, 18 Aug 2025 00:29:56 GMT
