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Method and system for artificial intelligence directed lead discovery in high throughput screening data

机译:高通量筛选数据中用于人工智能指导的线索发现的方法和系统

摘要

A computer based system for analyzing a set of data objects and establishing a mechanism model representing a set of features that is likely to correlate with a specified response characteristic. A computer may establish a description for each of the data objects based on a comparison between a set of descriptors and features of the data objects. The computer may then select a group of the data objects that have similar descriptions and that represent the specified response characteristic. The computer may then adaptively learn a mechanism model by mapping the discriminating features of the group back to the objects in the group. The computer may further designate the mechanism model as a new descriptor and iteratively repeat the process to establish yet an improved mechanism model. The invention is particularly well suited for use in establishing pharmacophores representing chemical structures that are likely to correlate with activity in a particular assay.
机译:一种基于计算机的系统,用于分析一组数据对象并建立表示可能与指定的响应特性相关的一组特征的机制模型。计算机可以基于一组描述符与数据对象的特征之间的比较来为每个数据对象建立描述。然后,计算机可以选择一组具有相似描述并代表指定响应特性的数据对象。然后,计算机可以通过将组的区别特征映射回组中的对象来自适应地学习机制模型。计算机可以进一步将机制模型指定为新的描述符,并反复重复该过程以建立改进的机制模型。本发明特别适合用于建立代表可能与特定测定中的活性相关的化学结构的药效团。

著录项

  • 公开/公告号US2004117164A1

    专利类型

  • 公开/公告日2004-06-17

    原文格式PDF

  • 申请/专利权人 BIOREASON INC.;

    申请/专利号US20030649596

  • 发明设计人 SUSAN I. BASSETT;JOHN W. ELLING;

    申请日2003-08-27

  • 分类号G06G7/48;G06G7/58;

  • 国家 US

  • 入库时间 2022-08-21 23:20:41

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