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Possibilities of Using De Novo Design for Generating Diverse Functional Food Enzymes
Food enzymes have an important role in the improvement of certain food characteristics, such as texture improvement, elimination of toxins and allergens, production of carbohydrates, enhancing flavor/appearance characteristics. Recently, along with the development of artificial meats, food enzymes h...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9964944/ https://www.ncbi.nlm.nih.gov/pubmed/36835238 http://dx.doi.org/10.3390/ijms24043827 |
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author | Wang, Xinglong Xu, Kangjie Tan, Yameng Liu, Song Zhou, Jingwen |
author_facet | Wang, Xinglong Xu, Kangjie Tan, Yameng Liu, Song Zhou, Jingwen |
author_sort | Wang, Xinglong |
collection | PubMed |
description | Food enzymes have an important role in the improvement of certain food characteristics, such as texture improvement, elimination of toxins and allergens, production of carbohydrates, enhancing flavor/appearance characteristics. Recently, along with the development of artificial meats, food enzymes have been employed to achieve more diverse functions, especially in converting non-edible biomass to delicious foods. Reported food enzyme modifications for specific applications have highlighted the significance of enzyme engineering. However, using direct evolution or rational design showed inherent limitations due to the mutation rates, which made it difficult to satisfy the stability or specific activity needs for certain applications. Generating functional enzymes using de novo design, which highly assembles naturally existing enzymes, provides potential solutions for screening desired enzymes. Here, we describe the functions and applications of food enzymes to introduce the need for food enzymes engineering. To illustrate the possibilities of using de novo design for generating diverse functional proteins, we reviewed protein modelling and de novo design methods and their implementations. The future directions for adding structural data for de novo design model training, acquiring diversified training data, and investigating the relationship between enzyme–substrate binding and activity were highlighted as challenges to overcome for the de novo design of food enzymes. |
format | Online Article Text |
id | pubmed-9964944 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-99649442023-02-26 Possibilities of Using De Novo Design for Generating Diverse Functional Food Enzymes Wang, Xinglong Xu, Kangjie Tan, Yameng Liu, Song Zhou, Jingwen Int J Mol Sci Review Food enzymes have an important role in the improvement of certain food characteristics, such as texture improvement, elimination of toxins and allergens, production of carbohydrates, enhancing flavor/appearance characteristics. Recently, along with the development of artificial meats, food enzymes have been employed to achieve more diverse functions, especially in converting non-edible biomass to delicious foods. Reported food enzyme modifications for specific applications have highlighted the significance of enzyme engineering. However, using direct evolution or rational design showed inherent limitations due to the mutation rates, which made it difficult to satisfy the stability or specific activity needs for certain applications. Generating functional enzymes using de novo design, which highly assembles naturally existing enzymes, provides potential solutions for screening desired enzymes. Here, we describe the functions and applications of food enzymes to introduce the need for food enzymes engineering. To illustrate the possibilities of using de novo design for generating diverse functional proteins, we reviewed protein modelling and de novo design methods and their implementations. The future directions for adding structural data for de novo design model training, acquiring diversified training data, and investigating the relationship between enzyme–substrate binding and activity were highlighted as challenges to overcome for the de novo design of food enzymes. MDPI 2023-02-14 /pmc/articles/PMC9964944/ /pubmed/36835238 http://dx.doi.org/10.3390/ijms24043827 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Wang, Xinglong Xu, Kangjie Tan, Yameng Liu, Song Zhou, Jingwen Possibilities of Using De Novo Design for Generating Diverse Functional Food Enzymes |
title | Possibilities of Using De Novo Design for Generating Diverse Functional Food Enzymes |
title_full | Possibilities of Using De Novo Design for Generating Diverse Functional Food Enzymes |
title_fullStr | Possibilities of Using De Novo Design for Generating Diverse Functional Food Enzymes |
title_full_unstemmed | Possibilities of Using De Novo Design for Generating Diverse Functional Food Enzymes |
title_short | Possibilities of Using De Novo Design for Generating Diverse Functional Food Enzymes |
title_sort | possibilities of using de novo design for generating diverse functional food enzymes |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9964944/ https://www.ncbi.nlm.nih.gov/pubmed/36835238 http://dx.doi.org/10.3390/ijms24043827 |
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