Join us at the American Society of Cell Biology Annual Meeting 2024:

• December 14, 2024: session on Biophysical Modeling of the Cell by Margaret Johnson & Michael Blinov.
• December 15, 2024: workshop on  Mathematical Modeling for Cell Biology by Leslie Loew.

Join us at the Biophysical Society Annual Meeting 2025:

• February 18 , 2025: workshop on Multiscale Biophysical Modeling of the Cell by Leslie Loew.

Join us for the 26th ONLINE  Annual Workshop on Computational Cell Biology:

• February 24-28, 2025: Lectures, tutorials and one-on-one training on VCell, COPASI and other tools.

VCell (Virtual Cell) is a comprehensive platform for modeling cell biological systems that is built on a central database and disseminated as a web application.

• One-stop simulation shopping: deterministic (compartmental ODE or reaction-diffusion-advection PDE with support for 2D kinematics), stochastic reactions (SSA solvers), spatial stochastic (reaction-diffusion with Smoldyn), hybrid deterministic/stochastic and network-free agent based simulations. Support for membrane flux, lateral membrane diffusion and electrophysiology.
• Explicit network or graphically expressed rules can be used to model
• Free with automatic installers for Windows, Mac OS and Linux.
• Biology-based interface for inexperienced modelers; enter reactions and pathways and VCell automatically creates the math for you. Experienced modelers can enter math directly.
• Our remote servers can run complex simulations from any low-cost laptop
• Geometries from 2D or 3D microscope images or from idealized analytical expressions.
• Access models and simulations from anywhere using the VCell database; models can be shared among collaborators or made publicly available.

SpringSaLaD is a stand-alone software tool to explicitly model binding events and state changes among multivalent molecules. It is one of the first algorithms to account for crowding effects within multimolecular clusters. Spring SaLaD models proteins as sets of reactive sites (spheres) connected by stiff springs. The impenetrable spheres capture excluded volume and steric hindrance effects. Langevin dynamics are used to model diffusion of each reaction site, and binding reactions are governed by probability based on diffusion coefficients of the sites, the site radii and the macroscopic on rate. Go here to download the software or read more about the about Spring SaLaD.

CompCellBio.org is designed to provide a central site for access to software, model repositories, quantitative repositories and educational resources for  computational cell biology research.  Developed under the NIGMS National and Regional Resources funding that maintains COPASI and Virtual Cell (VCell), two of the most powerful modeling environments for computational cell biology, the website provides the broader community with information and resources to aid in the development of computational models of cell biology.

The Virtual Cell was developed with funding from the National Institute of General Medical Sciences (NIGMS) as a Biomedical Technology Research Resource at the Center for Cell Analysis and Modeling (CCAM), and is currently funded by R24 GM137787. CCAM continues to develop new technologies for mathematical models of cell and systems biology through development of new physical formulations of biological mechanisms, developing the numerical methods for mathematically simulating these mechanisms, and bulding software infrastructure to deliver these tools for different types of modeling applications including large reaction network applications, spatial applications and detailed molecular interactions. Meet the VCell Team.

VCell is developed at The Center for Cell Analysis & Modeling, at UConn Health. Established in 1994, CCAM consists of faculty trained in diverse backgrounds from chemistry, physics, and experimental cell biology to software engineering. Research at CCAM focuses on the development of new approaches for in vivo measurements and manipulation of molecular events within the cell, as well as new computational approaches to organize such data into quantitative models.  CCAM is home to the Microscopy Facility, housing numerous extensive fluorescent imaging microscopes, and the High Performance Computing facility.