2017-07-10. A new publication in Biophysical Journal by Mohan et al. uses a VCell model to define mechanisms for signal amplification in the PLC/PKC pathway during chemotaxis. Link to the publication and view model details from our Published Models listing.
7-1-2017. CCAM welcomes several undergraduates and a graduate rotation student who are working on projects related to VCell this summer . Undergraduate students include Keeyan Ghoreshi, Anvin Thomas, Natalie de la Garrique and Shahan Kamal from UConn Storrs and Kevin Gaffney from the University of Oklahoma. Joe Masison is a new MD/PhD student from University of Maryland. Keeyan is working on the infrastructure for Sloppy Modeling projects, Shahan is modeling pathways using high-throuput data, Natalie is building Model Bricks, and Anvin is building VCell models for analyzing optogenetic experiments and developing general tools for assessing parameter identifiability in VCell. Kevin’s […]
VCell was pleased and honored to host its 18th annual VCell Short Course on June 12-14, 2017. Twelve national and international scientists traveled to work with VCell developers and administrators to construct Virtual Cell models based on their own, personal research interests. Thanks to all for a successful time!
2017-03-10. A new model from the Iyengar and Loew laboratories examines how cytoskeletal dynamics effect local changes in the complex morphology of kidney podocytes. Link to the publication and view model details from our Published Models listing.
A new publication in PLoS Computational Biology from Boris Slepchenko and coworkers describes the new hybrid deterministic stochastic spatial solver used in VCell. Schaff, J.C., F. Gao, Y. Li, I.L. Novak, and B.M. Slepchenko. 2016. Numerical Approach to Spatial Deterministic-Stochastic Models Arising in Cell Biology. PLoS Comput Biol. 12:e1005236. PMID 27959915
2016-10-14. A new version of VCell (6.1) was released to beta site. The new version replaces VCell 6.0 in beta, and enhances the new Rule-Based Modeling capabilities available in VCell. Advantages of Rule-Based Modeling in VCell are
- Specify rule-based models in a GUI, no scripting language required
- Rule-based models can span multiple compartments
- Reactions and rules can be mixed in one model
- Full support for rules in all VCell Application types (spatial, nonspatial, deterministic, stochastic).
- A set of rules can be simulated with Network-Free Simulator NFSim
- “Molecular Anchors” in rule-based models that keeps membrane-bound receptors attached to the membranes.
2016-09-10. A new publication in JBC describes a new VCell model used by Song et al. to study the role of PDE1 and PDE2 in AMPA receptor trafficking in medium spiny neurons. Link to the publication and view model details from our Published Models listing.
2016-08-30 A recent publication in PNAS describes a VCell model developed as collaboration between the Rangamini group at UC Davis and the Oster lab at UC Berkeley. The model couples biochemical signaling machinery with actin remodeling events in the dendritic spine; view the details on our Published Models list.
2016-07-27 A new publication from Sayak Bhattacharya and Pablo Iglesias at Johns Hopkins University describes the step-by-step construction of dynamical models of chemotactic networks using VCell (Bhattacharya and Iglesias 2016. Methods Mol. Biol. 1407:397, PMID 27271916). Publically available VCell models associated with the paper can be found on our list of published models here.
2016-07-15 VCell models were used to test possible mechanisms for maintenance of subcellular microdomains of cAMP in cardiomyocytes in a recent publication in PLoS Computational Biology by Yang et al. Find the publication and details of the models on our Published Models listing.
2016 -06-09 Hysteresis-like binding of coagulation factors x/xa to procoagulant activated platelets and phospholipids results from multistep association and membrane-dependent multimerization (Podoplelova et al. 2016. Biochim Biophys Acta. 1858:1216-1227. PMID 26874201). Find the public BioModel here.
VCell models were used to quantitatively analyze FRET measurements were used to demonstrate that voltage-sensing phosphatases (VSPs) have catalytic activity for PIP3 (Keum et al. 2016. Phosphoinositide 5- and 3-phosphatase activities of a voltage-sensing phosphatase in living cells show identical voltage dependence. Proc Natl Acad Sci U S A. 10.1073/pnas.1606472113, PMID 27222577). Find the public VCell model here.
2016-05-03 A new model of pancreatic beta cell G-protein coupled receptors and second messenger interactions was recently published in PLoS One by Fridlyand and Philipson. Go to our Published Models listing to link to the publication and view details of the model.
2016-03-01. A new publication describes a VCell model that evaluates the contributions of protein kinases and beta-arrestin to termination of protease-activated receptor 2 signaling. Visit the Published Models page for details and links to the publication.
2016-02-02 SpringSaLad (Springs, Sites, and Langevin Dynamics) is a new software that uses a course-grained approach to model biomolecules as a group of linked spherical sites with excluded volumes. The software user material is available here. Read about the method and software in Springsalad: A spatial, particle-based biochemical simulation platform with excluded volume. Michalski, P.J., and L.M. Loew. 2016 Biophys J. 110:523-529. PMID 26840718.
2016-03-15. A new VCell model of the mechanisms and kinetics of desensitization of the protease-activated receptor-2 (PAR2), a Gq-PCR, was published by Jung et al. in the Journal of General Physiology. Visit the Published Models listing to view the model details and link to the publication.
2016-02-02 Paul Michalski and Les Loew describe their new Spring SaLaD sofware for spatial, stochastic, particle-based modeling of biochemical systems at the mesoscale. See the publication Michalski and Loew, 2016. SpringSaLaD: A Spatial, Particle-Based Biochemical Simulation Platform with Excluded Volume. Biophysical Journal 110:523-529. PMID 26840718