Data generated by the research group of Claus Wilke at UT Austin.
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Replication Data for: Learning the local landscape of protein structures with convolutional neural networks
Aug 8, 2021
Loy, James, 2021, "Replication Data for: Learning the local landscape of protein structures with convolutional neural networks", https://doi.org/10.18738/T8/8HJEF9, Texas Data Repository, V2
- Three zipped archives containing a combined total of 17263 mmCIF files representing 3d protein crystal structures - One text file containing 1,455,978 JSON objects identifying a unique protein microenvironment - Each JSON object identifies a protein microenvironment using a PDB...
Replication Data for "Moderate amounts of epistasis are not evolutionarily stable in small populations" by Sydykova et al.
Jan 3, 2020
Sydykova, Dariya K.; LaBar, Thomas; Adami, Christoph; Wilke, Claus O., 2020, "Replication Data for "Moderate amounts of epistasis are not evolutionarily stable in small populations" by Sydykova et al.", https://doi.org/10.18738/T8/GUNX76, Texas Data Repository, V1
Simulation data of small populations evolving in epistatic fitness landscapes. The data were generated with and subsequently analyzed by the code archived at: https://doi.org/10.5281/zenodo.3558802
Replication Data for metabolic flux measurements of "The E. coli molecular phenotype under different growth conditions" by Caglar et al.
Jan 27, 2017
Wilke, Claus, 2017, "Replication Data for metabolic flux measurements of "The E. coli molecular phenotype under different growth conditions" by Caglar et al.", https://doi.org/10.18738/T8/UG3TUR, Texas Data Repository, V1
Raw GC-MS data for metabolic flux measurements, generated by the Marx Lab at Harvard and Idaho. The data files are meant to be analyzed with the FiatFlux program. The data are described in detail in this preprint: M. U. Caglar, J. R. Houser, C. S. Barnhart, D. R. Boutz, S. M. Car...
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