Biophysical Modeling
Examples are the organization and dynamics of the nucleus, the structure and assembly of spindles, the positioning and transport of cellular organelles, and fluid-structure problems in biology. To address these, often in close collaboration with experimental collaborators, we build numerical and theoretical models from the ground up, revealing how the known mechanics of individual components give rise to collective behavior. Many such phenomena occur only within dense, highly interacting systems, inaccessible to standard techniques. To probe such regimes requires the development of fast and scalable algorithms for many-component systems, and of coarse-grained models that can be analyzed and simulated. We study the dynamics of proliferating cell collectives whose microscopic constituents’ growth is inhibited by macroscopic growth-induced stress. Discrete particle… Nearly all circadian clocks maintain a period that is insensitive to temperature changes, a phenomenon known as temperature
Biophysical Modeling You are using an outdated browser. Please upgrade your browser to improve your experience. CCB CCB Home Flatiron Institute Center for Computational Biology The Biophysical Modeling group focuses on the modeling and simulation of complex systems that arise in biology and soft condensed matter physics. Areas of interest include the dynamics of complex and active materials, as well as aspects of collective behavior and self-organization in both natural systems (e.g., inside the cell) and synthetic ones. Examples are the organization and dynamics of the nucleus, the structure
Explore this link on the map →related reading
- Molecules and Cells – Mahadevan Natural Philosophysoftmath.seas.harvard.edu
- jsomers.net | I should have loved biologyjsomers.net
- Interesting Lab Websites | LoganThrasherCollins.comlogancollinsblog.com
- UCSD Biological Physicsbiophysics.physics.ucsd.edu
- Research – Yunker Labyunkerlab.gatech.edu
- Publications - Nazockdast Labnazockdastlab.com
- Levers for Biological Progress - by Niko McCartyasimov.press
- Quantitative biology – a perspective for the life sciences' way into the future - Business Chemistrybusinesschemistry.org
- Models and Code | Signaling Systems Labsignalingsystems.ucla.edu
- Learning developmental mode dynamics from single-cell trajectories | eLifeelifesciences.org
- Jörn Dunkel - Researchmath.mit.edu
- Models of Lifepress.asimov.com