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Tracking 20 Years of Compound-to-Target Output from Literature and Patents

机译:跟踪文献和专利实现复合目标输出的20年

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摘要

The statistics of drug development output and declining yield of approved medicines has been the subject of many recent reviews. However, assessing research productivity that feeds development is more difficult. Here we utilise an extensive database of structure-activity relationships extracted from papers and patents. We have used this database to analyse published compounds cumulatively linked to nearly 4000 protein target identifiers from multiple species over the last 20 years. The compound output increases up to 2005 followed by a decline that parallels a fall in pharmaceutical patenting. Counts of protein targets have plateaued but not fallen. We extended these results by exploring compounds and targets for one large pharmaceutical company. In addition, we examined collective time course data for six individual protease targets, including average molecular weight of the compounds. We also tracked the PubMed profile of these targets to detect signals related to changes in compound output. Our results show that research compound output had decreased 35% by 2012. The major causative factor is likely to be a contraction in the global research base due to mergers and acquisitions across the pharmaceutical industry. However, this does not rule out an increasing stringency of compound quality filtration and/or patenting cost control. The number of proteins mapped to compounds on a yearly basis shows less decline, indicating the cumulative published target capacity of global research is being sustained in the region of 300 proteins for large companies. The tracking of six individual targets shows uniquely detailed patterns not discernible from cumulative snapshots. These are interpretable in terms of events related to validation and de-risking of targets that produce detectable follow-on surges in patenting. Further analysis of the type we present here can provide unique insights into the process of drug discovery based on the data it actually generates.
机译:最近许多评论都对药物开发产量和批准药物的产量下降进行了统计。但是,评估促进发展的研究生产力更加困难。在这里,我们利用从论文和专利中提取的广泛的结构-活性关系数据库。我们已经使用该数据库来分析已发布的化合物,这些化合物在过去20年中已与多个物种的近4000种蛋白质靶标标识符累积链接。到2005年,化合物的产量有所增加,随后出现下降,这与药物专利申请量的下降平行。蛋白质靶标的数量已经稳定,但没有下降。我们通过探索一家大型制药公司的化合物和靶标来扩展这些结果。另外,我们检查了六个单独蛋白酶靶标的集体时程数据,包括化合物的平均分子量。我们还跟踪了这些目标的PubMed概况,以检测与化合物输出变化相关的信号。我们的结果表明,到2012年,研究化合物的产量下降了35%。主要的病因可能是整个制药行业的并购,导致全球研究基地的萎缩。但是,这并不排除化合物质量过滤和/或专利成本控制的严格性增加。每年映射到化合物上的蛋白质数量显示减少的幅度较小,这表明大型公司在300种蛋白质范围内维持着已公布的全球研究累积目标容量。对六个单独目标的跟踪显示了无法从累积快照中识别出的独特详细模式。从与目标的确认和降低风险相关的事件可以解释这些事件,这些事件会产生可检测的后续专利激增。我们在此提供的类型的进一步分析可以根据实际发现的数据提供对药物发现过程的独特见解。

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