About Michael Blinov

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So far Michael Blinov has created 96 blog entries.

Computational Cell Biology workshop

2025-12-05T21:47:44+00:00 August 2nd, 2024|CCAM Events, News|

2024-07-22-24. VCell  and COPASI teams run 25th Annual Workshop on Computational Cell Biology. Nine students (one could not attend due to flights being cancelled) from Arkansas,  Connecticut, New York, Ohio, Texas and  Viginia worked with instructors for 3 days, developing their computational models. Thanks to NIH for the funding!

Group photo of attendees of workshop Lecture with workshop attendees sitting in classroom.[…]

Reaction-diffusion modeling with VCell used to study biophysical carbon concentrating mechanisms in land plants

2024-06-18T12:00:25+00:00 June 10th, 2024|News|

2024-06-10. The team of researchers from Michigan State University used reaction-diffusion modeling with VCell to provide insights into biophysical carbon concentrating mechanisms in land plants.
Kaste, J. A., Walker, B. J., & Shachar-Hill, Y. (2024). Reaction-diffusion modeling provides insights into biophysical carbon concentrating mechanisms in land plants. Plant Physiology, kiae324.
https://pubmed.ncbi.nlm.nih.gov/38857179/

A VCell model of endocytic nanoclusters is published in Nature Comm

2024-05-20T23:51:13+00:00 May 20th, 2024|News|

2024-05-14. The team of researchers from Australia and Johns Hopkins University used VCell to design and simulate a model explaining the formation of endocytic nanoclusters driven by distinct recruitment of Dynamin1 long- and short-tail isoforms.
Jiang, A., Kudo, K., Gormal, R.S., Ellis, S., Guo, S., Wallis, T.P., Longfield, S.F., Robinson, P.J., Johnson, M.E., Joensuu, M. and Meunier, F.A., 2024. Dynamin1 long-and short-tail isoforms exploit distinct recruitment and spatial patterns to form endocytic nanoclusters. Nature Communications15(1), p.4060.
https://pubmed.ncbi.nlm.nih.gov/38017688/ […]

Jiang et al., 2024

2024-11-26T19:11:07+00:00 May 20th, 2024|publication, publication-2024|

Dynamin1 long-and short-tail isoforms exploit distinct recruitment and spatial patterns to form endocytic nanoclusters.
Jiang, A., Kudo, K., Gormal, R.S., Ellis, S., Guo, S., Wallis, T.P., Longfield, S.F., Robinson, P.J., Johnson, M.E., Joensuu, M. and Meunier, F.A..
Nature Communications. 2024 May 14;15(1):4060.
PUBMED:38744819
doi: 10.1038/s41467-024-47677-8
VCell BioModels referenced in the publication
user:mejohnson81
biomodel name: DiffuseToCluster_WCoopDense
biomodel name: DiffuseToCluster_WithCoop