国际标准期刊号: 2329-9053

分子药剂学与有机过程研究杂志

开放获取

我们集团组织了 3000 多个全球系列会议 每年在美国、欧洲和美国举办的活动亚洲得到 1000 多个科学协会的支持 并出版了 700+ 开放获取期刊包含超过50000名知名人士、知名科学家担任编委会成员。

开放获取期刊获得更多读者和引用
700 种期刊 15,000,000 名读者 每份期刊 获得 25,000 多名读者

索引于
  • CAS 来源索引 (CASSI)
  • 哥白尼索引
  • 谷歌学术
  • 夏尔巴·罗密欧
  • 打开 J 门
  • 学术钥匙
  • 参考搜索
  • 哈姆达大学
  • 亚利桑那州EBSCO
  • OCLC-世界猫
  • 普布隆斯
  • 欧洲酒吧
  • ICMJE
分享此页面

抽象的

A Schematic Approach for Drug Discovery While Using Plant Sources

Walter Jager

The combination of declining numbers of new drug approvals and rising prohibitive costs poses serious challenges to drug discovery. The advent of combinatorial chemistry has given rise to renewed hope of increasing the success rate of new chemical entities (NCEs). But even this scientific development has not improved the success rate of new drug discovery. This scenario has allowed us to develop a new approach to integrated drug discovery where Ayurvedic wisdom can interact with drug discovery from botanical sources. The first step in drug discovery involves NCE identification. NCEs can be obtained by chemical synthesis or isolated from natural products by biologically active fractionation. The source of many new drugs and active ingredients in pharmaceuticals comes from natural products. A starting point for discovering new plant-based medicines is to use Ayurvedic wisdom, traditional documented uses, undocumented tribal uses, and extensive literature review to identify suitable candidates. A frequency analysis of the components of anciently documented formulations and an analysis of their Ayurvedic properties will allow the selection of suitable candidate plants for fractionation based on their biological activity. We can give you a complete idea about the dominance of Vedic properties. Integrating the wisdom of Ayurveda into pharmaceutical research requires a paradigm shift in the extraction process from sequential to parallel extraction. Bioassay-based fractionation of identified plants yields standardized extracts or isolated bioactive pharmaceutical compounds as new drugs. This integrated approach improves drug discovery success rates and saves cost and time.

免责声明: 此摘要通过人工智能工具翻译,尚未经过审核或验证。