The Human Metabolic Atlas is one of the projects carried out in the group of Systems Biology
The overall objective of our project is to establish the Human Metabolic Atlas
(HMA), a unique and novel web-based database and modelling tool through an open-access website. This interactive data analysis and model simulation platform will be used for integrative analysis of clinical data with the objectives of identifying prognostic biomarkers associated with metabolic diseases such as type 2 diabetes, cardiovascular disease and cancer.
- The central technology in the Human Metabolic Atlas is genome-scale metabolic models (GEMs), and a unique feature of the atlas will be the generation of specific models for a large number of healthy cell types and cancer.
- The reconstruction process of draft GEMs is based on our innovative INIT (Integrative Network Inference for Tissues) algorithm that integrates different types of experimental data, e.g. from the Human Protein Atlas.
- The generated draft models can be used for further manual curation and for reconstruction of functional GEMs.
- GEMs allow for context-dependent analysis of clinical data, providing much more information than traditional statistical correlation analysis, and hence advance the identification of relevant biomarkers that can be used for early diagnosis of metabolism related diseases.
- Furthermore, we will use the specific models for simulation of whole body metabolism and hence allow for improved drug discovery and development.
The Human Metabolic Atlas will provide engineering solutions for advancing health care, and will become a central element in an international effort towards the use of metabolic models for improving the treatment of metabolic diseases. Furthermore, the atlas may provide the first steps towards personalized diagnostics where individuals can evaluate their own clinical data.