即时关联 "是一项新功能,旨在促进对 "开放目标平台 "证据的探索

Carlos Cruz-Castillo, Luca Fumis, Chintan Mehta, Ricardo Esteban Martinez-Osorio, Juan Maria Roldan-Romero, Helena Cornu, Prashant Uniyal, Antonio Solano-Roman, Miguel Carmona, David Ochoa, Ellen M McDonagh, Annalisa Buniello
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摘要

开放靶点平台 (https://platform.opentargets.org) 是一个独特、全面的开源资源,支持系统识别和优先排序药物发现的靶点。该平台结合、协调和整合了来自 20 个不同来源的数据,提供靶点与疾病的关联,涵盖来自遗传关联、体细胞突变、已知药物、差异表达、动物模型、途径和系统生物学的证据。一个内部靶点识别评分框架对来自每个数据源和类型的证据进行权衡,为 780 万个靶点-疾病关联中的每一个给出一个总分。然而,以前的基础架构不允许用户主导动态调整不同证据类型对目标优先级的贡献,这是我们的用户社区经常提出的一个局限性。此外,以前的平台用户界面不支持在同一页面上导航和探索底层目标-疾病证据,有时会使用户的使用过程有违直觉。在此,我们将介绍 "即时关联"(AOTF)这一平台新功能,它是作为更广泛的产品重构项目的一部分而开发的,通过动态调整各来源证据的贡献权重,改变目标的优先级,从而提出更灵活、更有影响力的治疗假设。
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Associations on the Fly, a new feature aiming to facilitate exploration of the Open Targets Platform evidence
The Open Targets Platform (https://platform.opentargets.org) is a unique, comprehensive, open-source resource supporting systematic identification and prioritisation of targets for drug discovery. The Platform combines, harmonises and integrates data from >20 diverse sources to provide target-disease associations, covering evidence derived from genetic associations, somatic mutations, known drugs, differential expression, animal models, pathways and systems biology. An in-house target identification scoring framework weighs the evidence from each data source and type, contributing to an overall score for each of the 7.8M target-disease associations. However, the previous infrastructure did not allow user-led dynamic adjustments in the contribution of different evidence types for target prioritisation, a limitation frequently raised by our user community. Furthermore, the previous Platform user interface did not support navigation and exploration of the underlying target-disease evidence on the same page, occasionally making the user journey counterintuitive. Here, we describe Associations on the Fly (AOTF), a new Platform feature - developed as part of a wider product refactoring project - to enable formulation of more flexible and impactful therapeutic hypotheses through dynamic adjustment of the weight of contributing evidence from each source, altering the prioritisation of targets.
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