Please use this identifier to cite or link to this item:
http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/9908
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DC Field | Value | Language |
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dc.contributor.advisor | Klimpp, Stefan | - |
dc.contributor.author | V S, KRISHNA IYER | - |
dc.date.accessioned | 2025-05-16T10:02:40Z | - |
dc.date.available | 2025-05-16T10:02:40Z | - |
dc.date.issued | 2025-05 | - |
dc.identifier.citation | 70 | en_US |
dc.identifier.uri | http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/9908 | - |
dc.description.abstract | The cytoskeleton, a dynamic network of semiflexible filaments and associated proteins, plays a central role in maintaining cellular shape, organizing intracellular structures, and transmitting and generating mechanical forces. The viscoelastic properties of these net- works govern their mechanical response, which has been extensively studied in cross-linked systems using computational and theoretical approaches. However, biological cytoskeletal networks—such as the actin cortex—exhibit additional complexity due to active processes, including motor-driven forces and actin filament turnover. This study aims to establish a sys- tematic in silico framework using the Cytosim simulation suite to probe the viscoelasticity of cytoskeletal networks. Using microrheology techniques, we investigate how cross-linker density and filament renewal dynamics influence network rheology. Furthermore, we intro- duce cytocalc, a python package enabling reproducible analysis of Cytosim simulations, to facilitate broader exploration of cytoskeletal mechanics across diverse experimental and theoretical contexts. | en_US |
dc.description.sponsorship | DFG (through RTG 2756) KVPY | en_US |
dc.language.iso | en | en_US |
dc.subject | Research Subject Categories::INTERDISCIPLINARY RESEARCH AREAS | en_US |
dc.subject | Research Subject Categories::NATURAL SCIENCES | en_US |
dc.subject | Cytoskeleton | en_US |
dc.subject | Rheology | en_US |
dc.subject | Biophysics | en_US |
dc.subject | Viscoelasticity | en_US |
dc.title | Viscoelasticity of in silico Cytoskeletal Networks | en_US |
dc.type | Thesis | en_US |
dc.description.embargo | No Embargo | en_US |
dc.type.degree | BS-MS | en_US |
dc.contributor.department | Dept. of Physics | en_US |
dc.contributor.registration | 20201017 | en_US |
Appears in Collections: | MS THESES |
Files in This Item:
File | Description | Size | Format | |
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20201017_Krishna_Iyer_VS_MS_Thesis.pdf | MS Thesis | 4.2 MB | Adobe PDF | View/Open |
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