Computational tools for cellular scale biophysics.

Curr Opin Cell Biol

Center for Computational Biology, Flatiron Institute, 162 5th Ave, New York, 10010, NY, USA; Courant Institute of Mathematical Sciences, New York University, 251 Mercer St, New York, 10012, NY, USA.

Published: August 2024

AI Article Synopsis

  • Mathematical models are essential for understanding how biological components interact to manage the distribution of proteins, nutrients, and organelles within cells.
  • As research questions in biology become more detailed, these models also grow more complex, necessitating advanced analytic techniques and software.
  • The review focuses on recent tools that help analyze how cytoskeletal filaments, influenced by molecular motors and their surroundings, contribute to important cellular activities through fluid dynamics and material changes.

Article Abstract

Mathematical models are indispensable for disentangling the interactions through which biological components work together to generate the forces and flows that position, mix, and distribute proteins, nutrients, and organelles within the cell. To illuminate the ever more specific questions studied at the edge of biological inquiry, such models inevitably become more complex. Solving, simulating, and learning from these more realistic models requires the development of new analytic techniques, numerical methods, and scalable software. In this review, we discuss some recent developments in tools for understanding how large numbers of cytoskeletal filaments, driven by molecular motors and interacting with the cytoplasm and other structures in their environment, generate fluid flows, instabilities, and material deformations which help drive crucial cellular processes.

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Source
http://dx.doi.org/10.1016/j.ceb.2024.102379DOI Listing

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