AlphaFold,.

Claudio Mirabello1, Björn Wallner2, Björn Nystedt3

  • 1Dept of Physics, Chemistry and Biology, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Linköping University, 581 83, Linköping, Sweden. claudio.mirabello@scilifelab.se.

Nature communications
|October 8, 2024
PubMed
概括

AF_unmasked集成实验数据,以改善对大型复合体的蛋白质结构预测. 这种方法提高了准确性,即使具有有限的进化信息或不完美的起始结构,也有助于解释实验发现.