Kappler Michael A
Moonlight Informatics & Computing Knowledge LLC.
Curr Opin Drug Discov Devel. 2008 May;11(3):389-92.
The automation of drug discovery methods continues to develop, especially techniques that process information, represent workflow and facilitate decision-making. The magnitude of data and the plethora of questions in pharmaceutical and biotechnology research give rise to the need for rapid prototyping software. This review describes the advantages and disadvantages of three solutions: Competitive Workflow, Taverna and Pipeline Pilot. Each of these systems processes large amounts of data, integrates diverse systems and assists novice programmers and human experts in critical decision-making steps.
药物发现方法的自动化持续发展,尤其是处理信息、呈现工作流程并促进决策的技术。制药和生物技术研究中的数据量巨大且问题众多,因此需要快速原型制作软件。本综述描述了三种解决方案的优缺点:竞争工作流程、Taverna和管道先导。这些系统中的每一个都能处理大量数据、整合不同系统,并在关键决策步骤中协助新手程序员和专家。