Living systems are continually in active motion. From global scale migration down to enzymatic conformational transitions and kinetic action, living systems self-organize by moving. Moreover, motility as a response to stimuli is a key strategy by which living organisms capitalize on opportunities and combat threats. Motion is then a characteristic hallmark of biological complexity; however, it is also fundamentally physical. This has made studying motility one of the most fruitful points of collaboration between biologists and physicists, and remains an exciting frontier for both groups.
This workshop aims to stimulate new collaborative partnerships between experimental biologists and computational physicists. The programme is organized jointly by the IOP Biological and Computational Physics Groups and seeks to address: Biological questions that have yet to receive sufficient attention from computational modellers; Emerging numerical approaches with potential for simulating biological motions.
Topics will be broadly bilateral, tackling a combination of exciting biological systems and computational approaches. Examples of biological problems include (but are not limited to) cell motility in tissue growth and cancer, synchrony in flagellar dynamics, structural rearrangements within biofilm communities, and nuclear motor proteins. Specific computational approaches will include: Dynamic density functional theory, multiparticle collision dynamics, agent-based baciliform models, machine learning, phase-field models.
We would be delighted if you would join us in advancing the frontier of collaborative work on motility at this two-day workshop.
Abstract Submission deadline:
25 November 2021
2 December 2021
Organised by the IOP Biological Physics and Computational Physics Group
Co-sponsored by PoLNet3