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文章基本信息

  • 标题:Disentangling constraints using viability evolution principles in integrative modeling of macromolecular assemblies
  • 本地全文:下载
  • 作者:Giorgio Tamò ; Andrea Maesani ; Sylvain Träger
  • 期刊名称:Scientific Reports
  • 电子版ISSN:2045-2322
  • 出版年度:2017
  • 卷号:7
  • 期号:1
  • DOI:10.1038/s41598-017-00266-w
  • 语种:English
  • 出版社:Springer Nature
  • 摘要:Predicting the structure of large molecular assemblies remains a challenging task in structural biology when using integrative modeling approaches. One of the main issues stems from the treatment of heterogeneous experimental data used to predict the architecture of native complexes. We propose a new method, applied here for the first time to a set of symmetrical complexes, based on evolutionary computation that treats every available experimental input independently, bypassing the need to balance weight components assigned to aggregated fitness functions during optimization.
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