en.Wedoany.com Reported - BASF, the Austrian Centre of Industrial Biotechnology (ACIB), and the University of Graz have jointly developed a computer-assisted regression model to optimize enzyme performance and accelerate the scale-up of biocatalytic processes. The model requires only a small number of preliminary laboratory tests, such as determining the enzyme's unfolding curve, to identify the optimal combination of reaction conditions.

When in use, data is input into the computer model, which then calculates the optimal combination of reaction temperature and solvent concentration to enhance enzyme performance. Previously, this optimization process typically required extensive and laborious laboratory experiments.

"This method sounds simple, but it significantly improves the efficiency of biocatalytic processes and provides us with new insights into enzyme catalysis," said Dr. Stefan Seemayer, Head of Global Computational Protein Engineering at BASF. The research findings have been published in Nature Communications.

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