Prediction and integration of metabolite-protein interactions with genome-scale metabolic models

IF 6.8 1区生物学 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Metabolic engineering Pub Date : 2024-02-01 DOI:10.1016/j.ymben.2024.02.008

Mahdis Habibpour, Zahra Razaghi-Moghadam, Z. Nikoloski

引用次数: 0

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代谢物-蛋白质相互作用与基因组尺度代谢模型的预测和整合

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Metabolic engineering 工程技术-生物工程与应用微生物

CiteScore

15.60

自引率

6.00%

发文量

140

审稿时长

44 days

期刊介绍： Metabolic Engineering (MBE) is a journal that focuses on publishing original research papers on the directed modulation of metabolic pathways for metabolite overproduction or the enhancement of cellular properties. It welcomes papers that describe the engineering of native pathways and the synthesis of heterologous pathways to convert microorganisms into microbial cell factories. The journal covers experimental, computational, and modeling approaches for understanding metabolic pathways and manipulating them through genetic, media, or environmental means. Effective exploration of metabolic pathways necessitates the use of molecular biology and biochemistry methods, as well as engineering techniques for modeling and data analysis. MBE serves as a platform for interdisciplinary research in fields such as biochemistry, molecular biology, applied microbiology, cellular physiology, cellular nutrition in health and disease, and biochemical engineering. The journal publishes various types of papers, including original research papers and review papers. It is indexed and abstracted in databases such as Scopus, Embase, EMBiology, Current Contents - Life Sciences and Clinical Medicine, Science Citation Index, PubMed/Medline, CAS and Biotechnology Citation Index.