Computationally Modeling Lipid Metabolism and Aging: A Mini-review
One of the greatest challenges in biology is to improve the understanding of the mechanisms which underpin aging and how these affect health. The need to better understand aging is amplified by demographic changes, which have caused a gradual increase in the global population of older people. Aging...
Main Authors: | Mark T. Mc Auley, Kathleen M. Mooney |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2015-01-01
|
Series: | Computational and Structural Biotechnology Journal |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2001037014000476 |
Similar Items
-
Bacterial metabolic heterogeneity: from stochastic to deterministic models
by: Carl Graham, et al.
Published: (2020-07-01) -
Mean field strategies induce unrealistic nonlinearities in calcium puffs
by: Guillermo eSolovey, et al.
Published: (2011-08-01) -
Inventory Management Theory: a Critical Review
by: Lukáš Polanecký, Xenie Lukoszová
Published: (2016-01-01) -
Synthetic Biology Outside the Cell: Linking Computational Tools to Cell-Free Systems
by: Daniel eLewis, et al.
Published: (2014-12-01) -
Advances in Understanding of the Role of Lipid Metabolism in Aging
by: Ki Wung Chung
Published: (2021-04-01)