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News from Abroad


       BIOCHEMICAL PRODUCTION
       BASF and Austrian researchers develop computer-

       assisted model to enhance enzyme efficiency


         Numerous factors influence the effi-
       ciency of the enzymes used to produce
       chemicals. Finding the optimal reaction
       conditions therefore requires significant
       time and resources. Researchers from
       BASF, the  Austrian Research  Centre
       of Industrial Biotechnology (acib) and
       the University of Graz in Austria have
       co-developed a new computer-assisted
       model  that  can improve  enzyme per-
       formance and enable new biocatalytic
       production processes  to be scaled up
       faster from the lab to industrial manu-
       facturing.

         Enzymes are biological catalysts
       that speed up chemical reactions. The
       chemical  industry also uses enzymes
       as  biocatalysts in  production  processes
       to make products such as vitamins, fla-  enzyme, where both the reaction tem-  perature and solvent concentration for
       vourings or ingredients for cosmetics  perature and the solvent concentration  the best-possible enzyme performance.
       and detergents.                   result in the highest possible activity,”  “This sounds simple, but it consider-
                                         noted Dr. Seemayer.              ably  improves  the  efficiency  of  bio-
         But enzymes are very sensitive and                               catalytic processes and gives us a new
       stop working properly if, for example,   In the past, determining this optimal  understanding of enzymatic catalysis,”
       the temperature is too high. “They are  combination of  temperature and  sol-  said Dr. Seemayer. Owing to the major
       then no longer correctly  folded and  vent concentration was a complex pro-  scientific  significance,  the  researchers
       lose  their three-dimensional  structure,  cess involving many laboratory experi-  were  able  to  publish  their  findings  in
       which means no further catalytic reac-  ments. Researchers from BASF, acib  one  of  the  most  renowned  scientific
       tions can take place in their active cen-  and the University of  Graz have now  journals, Nature Communications.
       tre,” explained Dr. Stefan Seemayer,  developed  a  regression model  as an
       global head of computational  protein  extension of conventional biochemical   With this new method, different
       engineering at BASF. However, en-  models. A regression model is a statisti-  enzymes can be compared more easily
       zymes also cannot function optimally  cal method used to analyse and predict  with each other, and their performance
       when temperatures are too low, produc-  biochemical reactions based on collected  can be optimised. “This considerably
       ing lower volumes of the desired pro-  scientific data. This model makes it sig-  reduces  our  efforts  to  find  the  most
       duct.  The activity  of the biocatalysts  nificantly easier to determine the optimal  suitable conditions for each new pro-
       can  also  be  influenced  by  substances  combination.            duction process. We can therefore con-
       contained in the reaction medium, such                             clude our research and development
       as solvents.                        Only  a few  preliminary lab tests,  work in the laboratory more quickly
                                         such  as  determining the unfolding  and thus begin to scale up production
       Optimal combination               curve of the enzyme, are necessary. The  faster.  This  significantly  lowers  costs
         “In  order  to  get  the  largest  possi-  obtained data are entered into the com-  and resource consumption, improving
       ble amounts of the desired product, we  puter model, which then computes the  the  sustainability  of  biocatalysis,”  Dr.
       need to  find  the  optimal point for  the  optimal combination of  reaction  tem-  Seemayer stressed.


       Chemical Weekly  October 29, 2024                                                               157


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