Search Results for author: Padmini Rangamani

Found 7 papers, 2 papers with code

SMART: Spatial Modeling Algorithms for Reaction and Transport

1 code implementation12 Jun 2023 Justin G. Laughlin, Jørgen S. Dokken, Henrik N. T. Finsberg, Emmet A. Francis, Christopher T. Lee, Marie E. Rognes, Padmini Rangamani

Recent advances in microscopy and 3D reconstruction methods have allowed for characterization of cellular morphology in unprecedented detail, including the irregular geometries of intracellular subcompartments such as membrane-bound organelles.

3D Reconstruction

Cell motility modes are selected by the interplay of mechanosensitive adhesion and membrane tension

no code implementations31 May 2023 Yuzhu Chen, David Saintillan, Padmini Rangamani

We extended this model to 2D to study the interplay between cell shape and mechanics during crawling.

Modeling membrane curvature generation using mechanics and machine learning

no code implementations10 Jun 2022 Sage Malingen, Padmini Rangamani

The deformation of cellular membranes regulates trafficking processes, such as exocytosis and endocytosis.

BIG-bench Machine Learning

Bayesian Parameter Estimation for Dynamical Models in Systems Biology

1 code implementation11 Apr 2022 Nathaniel J. Linden, Boris Kramer, Padmini Rangamani

In this study, we propose a comprehensive framework for Bayesian parameter estimation and complete quantification of the effects of uncertainties in the data and models.

Uncertainty Quantification

Biomembranes undergo complex, non-axisymmetric deformations governed by Kirchhoff-Love kinematics and revealed by a three dimensional computational framework

no code implementations28 Jan 2021 Debabrata Auddya, Xiaoxuan Zhang, Rahul Gulati, Ritvik Vasan, Krishna Garikipati, Padmini Rangamani, Shiva Rudraraju

Lipid bilayers are represented as spline-based surfaces immersed in a 3D space; this enables modeling of a wide spectrum of membrane geometries, boundary conditions, and deformations that are physically admissible in a 3D space.

Stability analysis of a signaling circuit with dual species of GTPase switches

no code implementations17 Sep 2020 Lucas M. Stolerman, Pradipta Ghosh, Padmini Rangamani

GTPases are molecular switches that regulate a wide range of cellular processes, such as organelle biogenesis, position, shape, and signal transduction.

Biophysics at the coffee shop: lessons learned working with George Oster

no code implementations20 Feb 2019 Oleg Igoshin, Jing Chen, Jianhua Xing, Jian Liu, Timothy C. Elston, Michael Grabe, Kenneth S. Kim, Jasmine Nirody, Padmini Rangamani, Sean Sun, Hongyun Wang, Charles Wolgemuth

Over the past 50 years, the use of mathematical models, derived from physical reasoning, to describe molecular and cellular systems has evolved from an art of the few to a cornerstone of biological inquiry.

Descriptive Physical Intuition

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