4.7 Article

Pharmer: Efficient and Exact Pharmacophore Search

期刊

JOURNAL OF CHEMICAL INFORMATION AND MODELING
卷 51, 期 6, 页码 1307-1314

出版社

AMER CHEMICAL SOC
DOI: 10.1021/ci200097m

关键词

-

资金

  1. National Institute of Health [1R21GM087617-01A1, R01GM097082-01]

向作者/读者索取更多资源

Pharmacophore search is a key component of many drug discovery efforts. Pharmer is a new computational approach to pharmacophore search that scales with the breadth and complexity of the query, not the size of the compound library being screened. Two novel methods for organizing pharmacophore data, the Pharmer KDB-tree and Bloom fingerprints, enable Pharmer to perform an exact pharmacophore search of almost two million structures in less than a minute. In general, Pharmer is more than an order of magnitude faster than existing technologies. The complete source code is available under an open-source license at http://pharmer.sourceforge.net.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据