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      Scenarios on the future of biotechnology

      Technological Forecasting and Social Change
      Elsevier BV

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          Predicting function: from genes to genomes and back.

          Predicting function from sequence using computational tools is a highly complicated procedure that is generally done for each gene individually. This review focuses on the added value that is provided by completely sequenced genomes in function prediction. Various levels of sequence annotation and function prediction are discussed, ranging from genomic sequence to that of complex cellular processes. Protein function is currently best described in the context of molecular interactions. In the near future it will be possible to predict protein function in the context of higher order processes such as the regulation of gene expression, metabolic pathways and signalling cascades. The analysis of such higher levels of function description uses, besides the information from completely sequenced genomes, also the additional information from proteomics and expression data. The final goal will be to elucidate the mapping between genotype and phenotype. Copyright 1998 Academic Press.
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            Proteomics: quantitative and physical mapping of cellular proteins

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              Cellulase for commodity products from cellulosic biomass

              A vital objective for second millennium biotechnology will be the enzymatic conversion of renewable cellulosic biomass to inexpensive fermentable sugars; new and more efficient fermentation processes will convert this biological 'currency' to a variety of commodity products. Although early strides will be made using process development and engineering disciplines, mid-term and longer advances must rely heavily on insight gained through protein and metabolic engineering technologies. These challenging goals can be met most effectively by the full integration of academic, federal, and industrial efforts in teams that develop and apply new fundamental knowledge to key cost drivers.
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                Author and article information

                Journal
                Technological Forecasting and Social Change
                Technological Forecasting and Social Change
                Elsevier BV
                00401625
                October 2001
                October 2001
                : 68
                : 2
                : 109-129
                Article
                10.1016/S0040-1625(00)00107-4
                4bc84654-2449-446f-a510-47ebcc7a6e13
                © 2001

                http://www.elsevier.com/tdm/userlicense/1.0/

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