Prediction techniques biochemical function

In conclusion, while techniques for the prediction of low-resolution structures have improved, they still have a way to go before structure prediction becomes routine. Nevertheless, this is a very laudable goal because low-resolution structures are of considerable utility both in the identification of biochemical function and in ligand docking. Such efforts will have to be applied on a genomic scale if structure-based approaches to function prediction are to play a role in the post genomic era. A number of such efforts are underway, and doubtless there will be more in the future. 

Direct visualization of chromatin structures, from single nucleosome particles to large-scale chromatin fiber in relatively unperturbed nuclei, has had a major impact on our understanding of how DNA is organized in eukaryotic cells. Without images of chromatin at all levels of organization, our interpretations of more indirect biochemical data would be impaired. We predict that advances in chromatin structure and function research will continue to rely on developments in imaging techniques. 

Since a growing number of newly discovered peptidases are specifically expressed in single tissues, especially, at low expression levels or often only at certain development stages, it is very complicated to isolate the enzymes in sufficient quantities using classical biochemical procedures. Therefore, the only alternative is the cloning and expression of these peptidases. In addition, recombinant techniques allow directed structural alterations in order to program mechanistic or functional features. Peptidases can be expressed in most of the developed expression systems (yeast, viral, bacterial, insect cells and mammalian). It is not usually easy to predict which expression system is the method of choice. For functional expression of recombinant peptidases various examples have been presented[371. 

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