Related Experiment Video
Updated: Dec 3, 2025
11:07
High-Throughput Metabolic Profiling for Model Refinements of Microalgae
Published on: December 4, 2021
4.1K
Leveraging genome-scale metabolic models for human health applications
Shomeek Chowdhury1, Stephen S Fong2
1Integrative Life Sciences, Virginia Commonwealth University, 1000 West Main Street, Richmond, 23284, VA, USA.
Current Opinion in Biotechnology
|October 29, 2020
Summary
Genome-scale metabolic models (GEMs) are powerful computational tools for understanding biological functions. Recent advances show their utility in human health, particularly for studying cancer and the microbiome.
Area of Science:
- Computational biology
- Systems biology
- Metabolic engineering
Background:
- Genome-scale metabolic models (GEMs) offer a scalable computational approach to analyze biological functions.
- Advancements in computational methods and experimental techniques enhance GEM utility in human health.
- Metabolic changes are central to many disease states, highlighting the relevance of GEMs.
Purpose of the Study:
- To review recent applications of GEMs in human health.
- To focus on the utility of GEMs in studying cancer and the human microbiome.
- To describe methodologies and outcomes of GEM applications in these areas.
Main Methods:
- Review of recent literature on GEM applications in cancer and microbiome research.
- Description of enabling methodologies for GEM construction and analysis.
- Analysis of outcomes from GEM-based studies.
Main Results:
- GEMs are increasingly applied to understand metabolic alterations in cancer.
- GEMs provide insights into the complex metabolic interactions within the human microbiome.
- Methodological advances are expanding the scope and accuracy of GEM applications.
Conclusions:
- GEMs are valuable tools for investigating metabolic diseases like cancer.
- GEMs are crucial for deciphering the metabolic roles of the human microbiome.
- Future research directions include leveraging methodological advances for novel health applications.
Related Concept Videos
01:15Model Approaches for Pharmacokinetic Data: Physiological Models
187
Physiological models in pharmacokinetics are instrumental in understanding the distribution and elimination of drugs within the body. These models describe the drug concentration within target organs, influenced by factors such as drug uptake, tissue volume, and blood flow. Drug uptake is governed by the partition coefficient, which signifies the drug concentration ratio in tissue to that in the blood. The blood flow rate to a specific tissue is expressed as Qt, and the rate of change in tissue...
187
01:20Pharmacokinetic Models: Overview
1.6K
Pharmacokinetic models utilize mathematical analysis to achieve a detailed quantitative understanding of a drug's life cycle within the body. They are instrumental in simulating a drug's pharmacokinetic parameters, predicting drug concentrations over time, optimizing dosage regimens, linking concentrations with pharmacologic activity, and estimating potential toxicity.
There are three primary types of models: empirical, compartment, and physiological. Empirical models, with minimal...
There are three primary types of models: empirical, compartment, and physiological. Empirical models, with minimal...
1.6K
01:40Overview of Metabolism
36.5K
Living cells constantly carry out various chemical reactions which are necessary for their proper functioning. These reactions are interlinked to one another via multiple pathways. The collection of these chemical reactions is known as metabolism.
Plant Metabolism
Sunlight, the primary source of energy in plants, is first absorbed by the chlorophyll pigments present in their leaves. Plants then use this energy to carry out photosynthesis, where water is oxidized into oxygen and carbon dioxide...
Plant Metabolism
Sunlight, the primary source of energy in plants, is first absorbed by the chlorophyll pigments present in their leaves. Plants then use this energy to carry out photosynthesis, where water is oxidized into oxygen and carbon dioxide...
36.5K
01:19Regulation of Metabolism
10.9K
Cellular needs and conditions vary from cell to cell and change within individual cells over time. For example, the required enzymes and energetic demands of stomach cells are different from those of fat storage cells, skin cells, blood cells, and nerve cells. Furthermore, a digestive cell works much harder to process and break down nutrients during the time that closely follows a meal compared with many hours after a meal. As these cellular demands and conditions vary, so do the amounts and...
10.9K
02:02Genomics
39.1K
Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
39.1K