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  • 标题:Unsupervised determination of protein crystal structures
  • 本地全文:下载
  • 作者:Ivan S. Ufimtsev ; Michael Levitt
  • 期刊名称:Proceedings of the National Academy of Sciences
  • 印刷版ISSN:0027-8424
  • 电子版ISSN:1091-6490
  • 出版年度:2019
  • 卷号:116
  • 期号:22
  • 页码:10813-10818
  • DOI:10.1073/pnas.1821512116
  • 出版社:The National Academy of Sciences of the United States of America
  • 摘要:We present a method for automatic solution of protein crystal structures. The method proceeds with a single initial model obtained, for instance, by molecular replacement (MR). If a good-quality search model is not available, as often is the case with MR of distant homologs, our method first can automatically screen a large pool of poorly placed models and single out promising candidates for further processing if there are any. We demonstrate its utility by solving a set of synthetic cases in the 2.9- to 3.45-Å resolution.
  • 关键词:massively parallel ; unsupervised method ; protein crystal structure ; Bcl-xL
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