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X-ray crystallography has revealed the key structural elements of the binuclear manganese active site complex that can serve as the starting point for computational studies on the protein.
Initial hit inhibitor obtained by screening was then used as a starting point for computational similarity searching for structurally related compounds and several new noncovalent inhibitors were discovered.
We also have a rapidly emerging biophysical understanding of the relationship between RNA structure and function that has served as an excellent starting point for computational RNA design [ 10– 10].
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Graphical programs [7 10] are widely used for the creation of three-dimensional models of compounds to be used as starting points for computational chemistry and for visualization of the results obtained from these calculations.
Therefore, the two reviews, complementing each other, are perceived to be a useful starting point for computer scientists to get acquainted with many of the computational challenges coming from computational biology in which core ideas of the information sciences are already having a substantial impact.
An abstract architecture, the kernel architecture, is introduced as a starting point for building computational models.
As a starting point for a computational algorithm, we consider the identity (1) for x ∈ ℝ N.
In transcriptomics, the identification of differentially expressed genes when studying effect(s)/contrast(s) of interest constitutes the starting point for further downstream computational analysis (e.g. gene over-representation/enrichment analysis, reverse engineering, network building, etc).
In transcriptomics, the identification of differentially expressed genes when studying effect(s) or contrast(s) of interest constitutes the starting point for further downstream computational analysis (e.g. gene over-representation/enrichment analysis, reverse engineering) leading to mechanistic insights.
This paper can be served as a starting point for more sophisticated analytic and computational treatments of defects in thermoelectric materials, and the analysis thus point to a new direction in developing high thermoelectric performance of engineer hybrid composites with inclusion structures.
The overlay quality can be dramatically improved, in this situation, by slightly altering the methodology provided in this work to perform a post overlay optimization, using the near-optimal alignment-recycling overlay as a starting point for shape overlay optimization, providing substantial computational savings in the absence of such information.
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