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101 to 110 of 6,721 Results
Quantifying single cell lipid signaling kinetics after photo-stimulation
Mar 28, 2024
Gonzales, David Thomas, 2023, "Quantifying single cell lipid signaling kinetics after photo-stimulation", https://doi.org/10.17617/3.3JM5WX, Edmond, V3
analysis_correction.zip
Mar 28, 2024 - Quantifying single cell lipid signaling kinetics after photo-stimulation
ZIP Archive - 14.8 MB - MD5: db086b060a40b3e3ade1fabbf29577c9
README.md
Mar 28, 2024 - Quantifying single cell lipid signaling kinetics after photo-stimulation
Markdown Text - 3.5 KB - MD5: 74d3724d5143188e417e955595a557d6
SensitivityAnalysis.py
Mar 22, 2024 - Code and data for the manuscript 'A numerical compass for experiment design in chemical kinetics and molecular property estimation'
Python Source Code - 13.2 KB - MD5: 86478a9f7ae9e412db269b80fd0efab7
Code: sensitivity analysis
Code and data for the manuscript 'A numerical compass for experiment design in chemical kinetics and molecular property estimation'
Mar 22, 2024
Krueger, Matteo; Berkemeier, Thomas, 2023, "Code and data for the manuscript 'A numerical compass for experiment design in chemical kinetics and molecular property estimation'", https://doi.org/10.17617/3.D5PCQK, Edmond, V3
The numerical compass (NC) method integrates kinetic models, global optimization, ensemble methods, and machine learning to identify experimental conditions with the greatest potential to constrain kinetic parameters. The approach is based on the quantification of model output variance in an ensemble of solutions that agree with experimental data....
Experience reduces route selection on conspecifics by the collectively migrating white stork
Mar 15, 2024
Brønnvik, Hester, 2023, "Experience reduces route selection on conspecifics by the collectively migrating white stork", https://doi.org/10.17617/3.VMDBSO, Edmond, V2
The locations of migratory storks prepared for step-selection functions using convective velocity scale (w_star) and the probability density function of a utilization distribution from autocorrelated kernel density estimates (ud_pdf) as covariates.
Multiscale simulations of the CP43 photosynthetic antenna complex: QM/MM, TD-DFT and PMM data
Mar 4, 2024
Pantazis, Dimitrios A.; Bhattacharjee, Sinjini; Daidone, Isabella; Arra, Srilatha, 2023, "Multiscale simulations of the CP43 photosynthetic antenna complex: QM/MM, TD-DFT and PMM data", https://doi.org/10.17617/3.S2DPUE, Edmond, V2
Primary computational data used in multiscale studies of the CP43 photosynthetic antenna.
c10-opt.pdb
Mar 4, 2024 - Multiscale simulations of the CP43 photosynthetic antenna complex: QM/MM, TD-DFT and PMM data
chemical/x-pdb - 5.7 MB - MD5: 7acebdcd9d2bc697820f2523b089b6a6
c11-opt.pdb
Mar 4, 2024 - Multiscale simulations of the CP43 photosynthetic antenna complex: QM/MM, TD-DFT and PMM data
chemical/x-pdb - 5.7 MB - MD5: 0fb075e9d37a54886bc6a30d80e0a83d
c12-opt.pdb
Mar 4, 2024 - Multiscale simulations of the CP43 photosynthetic antenna complex: QM/MM, TD-DFT and PMM data
chemical/x-pdb - 5.7 MB - MD5: a3b8ef5912a4c60e617e71b35f697395
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