基因组尺度代谢模型引导的定制活生物治疗产品设计系统框架。

IF 3.5 2区生物学 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY

NPJ Systems Biology and Applications Pub Date : 2025-07-07 DOI:10.1038/s41540-025-00555-5

Yi Qing Lee, Yoon-Mi Choi, Seo-Young Park, Su-Kyung Kim, Minouk Lee, Dongseok Kim, Lokanand Koduru, Meiyappan Lakshmanan, Sangyong Jung, Mi Jin Kim, Yon Ho Choe, Dong-Yup Lee

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引用次数: 0

摘要

活体生物治疗产品（lbp）是一种很有前途的微生物治疗药物，为了成功开发，需要对其质量、安全性和有效性进行严格评估。为此，我们提出了一个模型指导框架，其中基因组尺度的代谢模型（GEMs）可以用于在系统水平上表征LBP候选菌株及其与邻近微生物组和宿主细胞的代谢相互作用。从这个角度来看，我们概述了一种基于gem的筛选、评估和设计个性化多菌株lbp的策略。

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Genome-scale metabolic model-guided systematic framework for designing customized live biotherapeutic products.

For the successful development of live biotherapeutic products (LBPs), which are promising microbiome-based therapeutics, it is required to rigorously evaluate their quality, safety, and efficacy. To this end, we present a model-guided framework where genome-scale metabolic models (GEMs) can be exploited for characterizing LBP candidate strains and their metabolic interactions with adjacent microbiome and host cells at a systems level. In this perspective, we outline a GEM-based strategy for screening, assessment, and design of personalized multi-strain LBPs.

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来源期刊

NPJ Systems Biology and Applications Mathematics-Applied Mathematics

CiteScore

5.80

自引率

0.00%

发文量

审稿时长

8 weeks

期刊介绍： npj Systems Biology and Applications is an online Open Access journal dedicated to publishing the premier research that takes a systems-oriented approach. The journal aims to provide a forum for the presentation of articles that help define this nascent field, as well as those that apply the advances to wider fields. We encourage studies that integrate, or aid the integration of, data, analyses and insight from molecules to organisms and broader systems. Important areas of interest include not only fundamental biological systems and drug discovery, but also applications to health, medical practice and implementation, big data, biotechnology, food science, human behaviour, broader biological systems and industrial applications of systems biology. We encourage all approaches, including network biology, application of control theory to biological systems, computational modelling and analysis, comprehensive and/or high-content measurements, theoretical, analytical and computational studies of system-level properties of biological systems and computational/software/data platforms enabling such studies.