Whole-Cell Models and Simulations in Molecular Detail

Area of Science:

• Systems Biology
• Computational Biology
• Molecular Modeling

Background:

• Quantitative whole-cell models are increasingly feasible due to comprehensive data on cellular component composition and structure.
• Existing models primarily focus on kinetic networks, but physical, molecular-level simulations are emerging.

Purpose of the Study:

• To review the challenges associated with constructing and simulating physical, molecular-level whole-cell models.
• To discuss opportunities for developing these models to bridge molecular structure and biological function.

Main Methods:

• Literature review of current advancements in whole-cell modeling.
• Analysis of challenges in computational simulation of molecular-level cellular environments.
• Exploration of future directions in physical whole-cell modeling.

Main Results:

• Construction of quantitative whole-cell models is enabled by extensive data on cellular components.
• Transition from kinetic network models to physical, molecular-level models is becoming possible.
• Significant challenges exist in the simulation and construction of these detailed models.

Conclusions:

• Developing physical whole-cell models presents computational and methodological hurdles.
• Near- and long-term opportunities exist for creating models that connect molecular structure to biological function.
• Future research should focus on overcoming simulation challenges to realize the potential of physical whole-cell models.