Guided extraction of genome-scale metabolic models for the integration and analysis of omics data-Reference-Cited by-同舟云学术

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Guided extraction of genome-scale metabolic models for the integration and analysis of omics data

Published:2021 Issue: Volume:19 Page:3521-3530
ISSN:2001-0370
Container-title:Computational and Structural Biotechnology Journal
language:en
Short-container-title:Computational and Structural Biotechnology Journal

Author:

Walakira Andrew,Rozman Damjana,Režen Tadeja,Mraz Miha,Moškon Miha

Funder

Horizon 2020 Marie Skłodowska-Curie Actions

Public Research Agency of the Republic of Slovenia

Publisher

Elsevier BV

Subject

Computer Science Applications,Genetics,Biochemistry,Structural Biology,Biophysics,Biotechnology

Reference61 articles.

1. Integration of lipidomics and metabolomics for in-depth understanding of cellular mechanism and disease progression;Wang;J Genet Genomics,2020

2. Multi-omics analysis of diabetic heart disease in the db/db model reveals potential targets for treatment by a longevity-associated gene;Faulkner;Cells,2020

3. What did we learn from multiple omics studies in asthma?;Ivanova;Allergy,2019

4. Recombinant glargine insulin production process using escherichia coli;Hwang;J Microbiol Biotechnol,2016

5. A novel and more efficient biosynthesis approach for human insulin production in escherichia coli (e. coli);Govender;AMB Express,2020

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine learning for the advancement of genome-scale metabolic modeling;Biotechnology Advances;2024-09

2. Bridging the gap in precision medicine: TranSYS training programme for next-generation scientists;Frontiers in Medicine;2024-05-24

3. Genome-scale metabolic models in translational medicine: the current status and potential of machine learning in improving the effectiveness of the models;Molecular Omics;2024

4. State-of the-Art Constraint-Based Modeling of Microbial Metabolism: From Basics to Context-Specific Models with a Focus on Methanotrophs;Microorganisms;2023-12-14

5. Integrative computational modeling to unravel novel potential biomarkers in hepatocellular carcinoma;Computers in Biology and Medicine;2023-06

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