3D protein structures for all 26 maize Nested Association Mapping (NAM) founder lines predicted by AlphaFold2
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资源简介：
This dataset presents 3D structures of proteins for all 26 maize Nested Association Mapping (NAM) founder lines predicted by AlphaFold2.
Protein structure prediction was performed using AlphaFold v2.0.0 with parameters preset as reduced_dbs as described in the AlphaFold database publication:
Tunyasuvunakool, K., Adler, J., Wu, Z. et al. Highly accurate protein structure prediction for the human proteome. Nature 596, 590–596 (2021). https://doi.org/10.1038/s41586-021-03828-1This dataset includes 26 compressed files, totaling about 80GB.
For each of the 26 NAM founder lines, the protein structures are organized into separate folders based on their corresponding chromosomes. Each 3D protein structure is stored in its own folder, which is named after the protein ID.
The counts of 3D protein structure for each NAM founder line are as follows:
B73: 68262
B97: 29161
CML103: 28880
CML228: 29644
CML247: 29046
CML277: 28981
CML322: 28887
CML333: 28968
CML52: 29424
CML69: 28996
HP301: 28859
Il14H: 28950
Ki11: 29055
Ki3: 28939
Ky21: 29182
M162W: 29295
M37W: 28897
Mo18W: 28915
Ms71: 29445
NC350: 29048
NC358: 29096
Oh43: 29117
Oh7B: 29162
P39: 28993
Tx303: 29150
Tzi8: 29297
Total: 795649
创建时间：
2025-06-06
