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预测生物技术的发展与机遇

The Development and Opportunities of Predictive Biotechnology.

机构信息

Joint working group on biotransformations of the Association for General and Applied Microbiology VAAM, the Society for Chemical Engineering, Biotechnology DECHEMA, Theodor-Heuss-Allee 25, 60486, Frankfurt, Germany.

Innophore GmbH, Am Eisernen Tor 3, 8010, Graz, Austria.

出版信息

Chembiochem. 2024 Jul 2;25(13):e202300863. doi: 10.1002/cbic.202300863. Epub 2024 May 7.

DOI:10.1002/cbic.202300863
PMID:38713151
Abstract

Recent advances in bioeconomy allow a holistic view of existing and new process chains and enable novel production routines continuously advanced by academia and industry. All this progress benefits from a growing number of prediction tools that have found their way into the field. For example, automated genome annotations, tools for building model structures of proteins, and structural protein prediction methods such as AlphaFold2 or RoseTTAFold have gained popularity in recent years. Recently, it has become apparent that more and more AI-based tools are being developed and used for biocatalysis and biotechnology. This is an excellent opportunity for academia and industry to accelerate advancements in the field further. Biotechnology, as a rapidly growing interdisciplinary field, stands to benefit greatly from these developments.

摘要

生物经济的最新进展使人们能够全面了解现有和新的工艺链,并使学术界和工业界不断推进新的生产常规。所有这些进展都受益于越来越多的预测工具,这些工具已经进入该领域。例如,自动化基因组注释、蛋白质建模结构工具以及 AlphaFold2 或 RoseTTAFold 等结构蛋白预测方法近年来变得越来越受欢迎。最近,越来越多的基于人工智能的工具被开发并用于生物催化和生物技术,这已经变得显而易见。这为学术界和工业界提供了一个极好的机会,可以进一步加速该领域的进展。生物技术作为一个快速发展的跨学科领域,将从这些发展中受益匪浅。

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