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Is combinatorial chemistry on the right track for drug discovery?

机译:组合化学是否在药物发现的正确轨道上?

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Critical to the effective implementation of high throughput methods of synthesis is the necessity for a significant supporting level of automation. There are a number of critical issues associated with the successful introduction, and supporting role, of automation of small molecule chemical synthesis. Clearly there are needs for automation to increase drug candidate synthesis throughput. Automation of repetitive and laborious tasks associated with the synthesis process can release skilled chemists to apply their talents to the more challenging investigational aspects of developing new synthetic protocols. This provides continuity in the compound supply pipeline and ensures an optimal use of the automated platform for compound production. The very high fidelity of performing repetitive processes that can be managed through automation also removes some of the limitations and errors associated with more fallible human operators. This can include very difficult tasks associated with tracking data, and general information and inventory management. Taken collectively, these attributes associated with automation can lead to greater efficiencies, throughputs and improved allocation of human resources with concomitant reductions in costs associated with current day and future drug discovery. In our library development/synthesis paradigm, we feel that automation support must be invoked early in the process and that this automation support must continue throughout the project.
机译:有效实现高通量合成方法的关键是必须具有相当高的自动化支持水平。成功引入和支持小分子化学合成自动化存在许多关键问题。显然,需要自动化来增加候选药物的合成通量。与合成过程相关的重复性且费力的任务的自动化可以释放熟练的化学家,以将其才能应用于开发新的合成方案的更具挑战性的研究方面。这在化合物供应管道中提供了连续性,并确保了自动化平台用于化合物生产的最佳使用。可以通过自动化进行管理的执行重复过程的高度保真度,也消除了与更容易犯错的人工操作员相关的一些限制和错误。这可能包括与跟踪数据以及常规信息和库存管理相关的非常困难的任务。综上所述,与自动化相关的这些属性可以提高效率,通量并改善人力资源分配,同时减少与当前和将来的药物开发相关的成本。在我们的库开发/综合范例中,我们认为必须在流程的早期调用自动化支持,并且这种自动化支持必须在整个项目中持续进行。

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