RNA provides a promising building block for the construction of tunable regulatory components based on its rich regulatory capacity and our current understanding of the sequence-function relationship.
14 Computational simulation and analysis of peptide conformational fluctuations were used to increase our understanding of sequence-dependent, structure-function relationships.
While the field of genomics has afforded scientists with access to genomic sequences of countless numbers of model species, strains, and lines, our understanding of the function of those sequences remains rather limited.
It also appears to be important to gain an understanding of the function of upstream sequences that are not specific to differentially expressed genes.
As the scientific core of the new network, their main task will be systematic genome analysis with the goal of understanding the sequence and functions of the genes residing therein.
Over the past two decades, the advent of techniques such as X-ray crystallography, NMR spectroscopy, and site-specific mutagenesis allowed a better understanding of protein sequence, structure, and function relationships.
Understanding of LTR structure increases understanding of LTR function, and of functional genomics.
For some classes of genomic features, we have a relatively rich understanding of the function of particular nucleotide sequences, and this knowledge can be exploited to make allele-specific predictions about the effect of variants that overlap an element.
Although these were previously known, here we add to the understanding of RSII function, showing that different sequences can be interchanged.
As our understanding of protein sequence-structure-function relationships grows, further rational and computational approaches need to be developed to address the role of remote mutations and epistasis to enhance our ability to create tailor-made proteins.
Genetic and proteomic methodologies are commonly applied in the model organism Saccharomyces cerevisiae to decode genomic sequence information into a meaningful understanding of protein function.
