Michael Blinov and Sophia Pidvysotski, a high school senior student at Miss Porter’s, a research apprentice at CCAM, are featured in the UConn today devoted to  UConn Health’s High School Research Apprentice Program: 

Connecticut High School Students Conducting Research at UConn Health

Prof Margaret Johnson from John Hopkins University and Michael Blinov are hosting the Special Interest Subgroup session on Biophysical Modeling of the Cell at Cell Bio 2023 – an ASCB/EMBO (https://www.ascb.org/cellbio2023/) meeting in Boston, MA, December 2-6. The session will take place on Wednesday, December 6, 8:30 AM – 11:00 AM (https://www.ascb.org/cellbio2023/program/subgroups/).

06-28-2023. The  24th Annual Computational Cell Biology (CCB) workshop took place at the Center for Cell Analysis and Modeling (CCAM) on June 26-28th. 11 participants from all over the US (from Maryland to Illinois) came to Farmington to work on developing their modeling projects using VCell and COPASI software tools, designed and maintained at CCAM. The students were helped by a CCAM team consisting of Michael Blinov, Ann Cowan, Leslie Loew, Pedro Mendes, Ion Moraru, Kelvin Peterson, Jim Schaff, Nathan Schaumburger, and Boris Slepchenko.

06-16-2023. Dr. Eran Agmon has published a pioneering paper that explores antibiotic resistance in E. coli by implementing a multiscale whole-cell model. Developed with Dr. Agmon‘s model integration software, Vivarium, the study encompasses single-cell dynamics and population-level heterogeneity to provide a mechanistic understanding of antibiotic resistance, furthering the fight against the rise of multidrug-resistant bacterial strains.

Skalnik, C. J., Cheah, S. Y., Yang, M. Y., Wolff, M. B., Spangler, R. K., … Agmon, E., & Covert, M. W. (2023). Whole-cell modeling of E. coli colonies enables quantification of single-cell heterogeneity in antibiotic responses. PLOS Computational Biology, 19(6), e1011232.

https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1011232

06-01-2023. Drs. Michael Blinov and Leslie Loew together with a former student Aniruddha Chattaraj (currently a PostDoc at Harvard) published a paper introducing a novel software, MolClustPy, to characterize and visualize the distribution of cluster sizes, molecular composition, and bonds across biomolecular clusters.

Chattaraj, A., Nalagandla, I., Loew, L. M., & Blinov, M. L. (2023). MolClustPy: a Python package to characterize multivalent biomolecular clusters. Bioinformatics, 39(6), btad385.

https://academic.oup.com/bioinformatics/article/39/6/btad385/7199581