Biopolymers (flexible rods), biomembranes (fluid sheets like soap bubbles), and biomolecular bonds are the Lego blocks of cells, used repeatedly inside cells to build a variety of nanometer-sized machines that help perform functions, like allowing cells to divide, crawl, organize their interiors, sense their environment and communicate with other cells. Our group develops physics-based mathematical models of subcellular machines, with the aim of connecting nanoscale architecture to specific cellular performance objectives.
“Model convolution”: Adding psf noise to the output of simulation, so that it can be compared apples-to-apples with experimental image. An idea popularized by @DavidOddeLab. Here applied to Sohyeon’s work on airinemes with Dae Seok Eom. pic.twitter.com/q4RR3s70tq
— allardlab (@allardlab) March 5, 2020
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The power of Weighted Ensemble in spatial cell biology: Computationally access rare events, beyond the complexity we could do by asymptotics (https://t.co/tcHipxYaRN), and beyond the rarity we could do by traditional timestepping. @elizread pic.twitter.com/kkcoGcBphi
— allardlab (@allardlab) February 3, 2020
Simulation of formin-myosin-actin asters in the cytoplasm of cancer cells. The vertical axis is time (moving downwards).
