首页> 外文会议>Annual genetic and evolutionary computation conference >Real-Coded Genetic Algorithm to Reveal Biological Significant Sites of Remotely Homologous Proteins
【24h】

Real-Coded Genetic Algorithm to Reveal Biological Significant Sites of Remotely Homologous Proteins

机译:实际编码的遗传算法,揭示远程同源蛋白质的生物重要位点

获取原文

摘要

Discovering biological importance from protein structures needs to utilize heuristic approaches. Since three-dimensional (3D) protein structures play a crucial role in biological reactions, comparing new proteins with well-studied proteins is vital for understanding the native functions. A few residues forming in geometrically close positions activate such biological functions.
机译:发现蛋白质结构的生物重要性需要利用启发式方法。由于三维(3D)蛋白质结构在生物反应中发挥着至关重要的作用,因此将新的蛋白质与研究良好的蛋白质进行比较至关重要地了解本地功能。在几何密封位置形成的一些残留物激活这种生物学功能。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号