...
首页> 外文期刊>Molecular informatics >A New Descriptor of Amino Acids‐SVGER and its Applications in Peptide QSAR
【24h】

A New Descriptor of Amino Acids‐SVGER and its Applications in Peptide QSAR

机译:氨基酸-SVGER的新描述符及其在肽QSAR中的应用

获取原文
获取原文并翻译 | 示例
           

摘要

Abstract In the study of peptide quantitative structure activity relationship (QSAR), a new descriptor of amino acids (SVGER) was calculated. It was applied in two peptides which are angiotensin converting enzyme inhibitors and bitter tasting threshold of di‐peptide. QSAR models were built by stepwise multiple regression‐multiple linear regression (SMR‐MLR) and stepwise multiple regression‐partial least square regression (SMR‐PLS). In the SMR‐MLR models for angiotensin converting enzyme inhibitors, the squared cross‐validation correlation coefficient ( Q LOO 2 ) was 0.907, squared correlation coefficient between predicted and observed activities ( R cum 2 ) was 0.977 and external multiple correlation coefficient ( Q ext 2 ) was 0.867. The corresponding data for the bitter tasting threshold of di‐peptide were 0.802, 0.966, 0.719. While in the SMR‐PLS model, Q LOO 2 , R cum 2 and Q ext 2 were 0.804, 0.915, 0.858 for angiotensin converting enzyme inhibitors and 0.782, 0.881, 0.747 for bitter tasting threshold of di‐peptide. Our results showed that descriptor SVGER can afford good account of relationships between activity and structure of peptide drugs.
机译:None

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