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Retrieval and analysis of chemical substance and patent information to support creation and selection of nonproprietary names

机译:检索和分析化学物质和专利信息,以支持创建和选择非专有名称

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摘要

Pharmaceutical patent analysts can contribute to the creation of generic names, also known as nonproprietary names (NNs), for products in development in their organizations. Retrieval and verification of chemical and patent information related to active pharmaceutical ingredients (APIs) is an important step in the preparation of requests for NNs. For analysts considering addition of this service to their portfolios, key attributes are a solid foundation in chemistry and patent information searching and interest in and familiarity with the process of creating and selecting NNs. A significant number of readers of Pharmaceutical Patent Analyst already satisfy the first attribute. Readers can begin to develop the second attribute by reviewing an introduction to the selection process for NNs, presented during a panel discussion at a recent conference [1]. This article provides an overview of the patent and chemical-substance information required in NN requests, with examples of challenges that analysts might encounter in that information and solutions for overcoming them [2].
机译:药品专利分析师可以为组织中正在开发的产品的通用名称(也称为非专有名称(NN))的创建做出贡献。与活性药物成分(API)有关的化学和专利信息的检索和验证是准备NN的重要步骤。对于考虑将这项服务添加到其产品组合中的分析人员,关键属性是化学和专利信息搜索以及对创建和选择NN的过程的兴趣和熟悉度的坚实基础。众多药物专利分析师的读者已经满足了第一个属性。读者可以通过回顾最近一次会议的小组讨论中介绍的神经网络选择过程的介绍来开始发展第二个属性[1]。本文概述了NN请求中所需的专利和化学物质信息,并提供了分析人员在该信息中可能遇到的挑战的示例以及克服这些挑战的解决方案[2]。

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