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Amanda C Macke1, Jacob E Stump1, Maria S Kelly1

  • 1Department of Chemistry, University of Cincinnati, Cincinnati, Ohio 45221, United States.

概括

新的机器学习二级结构组合 (StELa) 方法有效地识别了关键蛋白质构造和能量状态. 对于蛋白质结构分析,StELa的性能优于传统的RMSD和CATS聚类.

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Conserved Binding Sites01:49

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