santiago-schnell Goto Github PK
Name: Santiago Schnell
Type: User
Company: University of Notre Dame
Location: Notre Dame, Indiana, USA
Name: Santiago Schnell
Type: User
Company: University of Notre Dame
Location: Notre Dame, Indiana, USA
Quasi-reversible simulation wrapper for Interacting Particle Reaction Diffusion simulations.
Python scripts for paper "On the estimation errors of K_M and V from time-course experiments using the Michaelis–Menten equation" [Biophysical Chemistry 219 (2016), 17-27]
Matlab code for kinetic model of paper "Estimation of the lag time in a subsequent monomer addition model for fibril elongation" [Phys.Chem.Chem.Phys. 18 (2016), 21259]
Matlab code for estimate statistically significant periods of oscillations in time course data [PLoS One 9 (2014), e93826]
Matlab code for "A Graphical User Interface for a Method to Infer Kinetics and Network Architecture (MIKANA)" [PLoS ONE 6(2011), e27534]
Python scripts used to model and quantify information capacity of ER stress for preprint "Information processing by endoplasmic reticulum stress sensors" [DOI: ]. All codes were run using Python, version 2.7.
C++ code for models implemented in the paper "A systematic investigation of the rate laws valid in intracellular environments" [Biophys Chem 124 (2006) 1–10]
Matlab code for "Macroscopic simulations of microtubule dynamics predict two steady-state processes governing array morphology" [Comput Biol Chem 35 (2011), 269-281]
C++ code for model implemented in the paper "Unravelling the impact of obstacles in diffusion and kinetics of an enzyme catalysed reaction" [Phys Chem Chem Phys 16 (2014), 4492]
Python scripts used to simulate the model and calculate Pareto sets from paper "How to design an optimal sensor network for the unfolded protein response" [Mol Biol Cell 29 (2018), 3052-3062]. All codes were run using Python, version 2.7.
Python code to reproduce results from the paper "Predicting neuroblastoma using developmental signals and a logic-based model" [Biophys Chem 238 (2018), 30-38]
Matlab code for simulations of paper "Reaction kinetics in intracellular environments with macromolecular crowding: simulations and rate laws" [Prog Biophys Mol Biol 85 (2004) 235–260]
A declarative, efficient, and flexible JavaScript library for building user interfaces.
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