首页> 外国专利> MACHINE LEARNING AND MOLECULAR SIMULATION BASED METHODS FOR ENHANCING BINDING AND ACTIVITY PREDICTION

MACHINE LEARNING AND MOLECULAR SIMULATION BASED METHODS FOR ENHANCING BINDING AND ACTIVITY PREDICTION

机译:基于机器学习和分子模拟,用于增强结合和活性预测

摘要

Systems and methods for molecular simulation in accordance with embodiments of the invention are illustrated. One embodiment includes a method for predicting a relationship between a ligand and a receptor. The method includes steps for identifying a plurality of conformations of a receptor, computing docking scores for each of the plurality of conformations and a set of one or more ligands, and predicting a relationship between the set of one or more ligands and the plurality of conformations of the receptor.
机译:示出了根据本发明实施例的用于分子模拟的系统和方法。 一个实施方案包括预测配体和受体之间的关系的方法。 该方法包括用于识别接收器的多个构象的步骤,为多个构象的每个构象和一组一个或多个配体计算对接分数,以及预测该组的一个或多个配体和多个构象之间的关系 受体。

著录项

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

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