06-20-22 Congratulations to Dr. Paola Vera-Licona and Lauren Marazzi who recently published a paper in npj Systems Biology and Applications on NETISCE: a network-based tool for cell fate reprogramming. In this paper, they introduce NETISCE, a novel computational tool for identifying cell fate reprogramming targets in static networks. In combination with machine learning algorithms, NETISCE estimates the attractor landscape and predicts reprogramming targets using Signal Flow Analysis and Feedback Vertex Set Control, respectively.

06-28-2023. The 24th Annual on-site workshop on Computational Cell Modeling took place in Farmington for the 3 days, June 26-28. 11 participants across USA (from Maryland to Urbana-Champaign) came to develop their scientific projects using VCell and COPASI software tools. Students were helped by CCAM members –  Michael Blinov, Ann Cowan, Leslie Loew, Pedro Mendes, lon Moraru, Kelvin Perelson, Jim Schaff, Nathan Schaumburger, and Boris Slepchenko.