Elucidating protein function

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To achieve this goal we genetically transformed Arabidopsis thaliana with an ACS (Aminocyclopropane-1-carboxylic acid synthase) gene.

Using quantitative real-time PCR (q PCR), we previously confirmed that the ACS gene was upregulated in poplar (Populus trichocarpa) plants when exposed to environmental pollutants including ozone and methyl vinyl ketone.

The principal difference between structural genomics and traditional structural prediction is that structural genomics attempts to determine the structure of every protein encoded by the genome, rather than focusing on one particular protein.

With full-genome sequences available, structure prediction can be done more quickly through a combination of experimental and modeling approaches, especially because the availability of large number of sequenced genomes and previously solved protein structures allows scientists to model protein structure on the structures of previously solved homologs.

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Another common and stable form of chromium in the environment is hexavalent chromium (Cr).

The Bio Sapiens Network has developed tools to address all stages of this process, and here we review progress in the automated prediction of protein function based on protein sequence and structure.The good news is that methods for predicting structure from sequence can now produce good models for a substantial fraction of the protein space [].Many proteins of known structure are not yet functionally characterized and their number is increasing.In the past, a protein's structure was usually experimentally determined after its biological role had been thoroughly elucidated, and the structure was used as a framework to explain known functional properties.This led to the view that the reliable prediction of the structure of a protein from its sequence would almost automatically provide information about its function.

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