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开放靶点平台:助力药物研发中的治疗假说构建

Open Targets Platform: facilitating therapeutic hypotheses building in drug discovery.

作者信息

Buniello Annalisa, Suveges Daniel, Cruz-Castillo Carlos, Llinares Manuel Bernal, Cornu Helena, Lopez Irene, Tsukanov Kirill, Roldán-Romero Juan María, Mehta Chintan, Fumis Luca, McNeill Graham, Hayhurst James D, Martinez Osorio Ricardo Esteban, Barkhordari Ehsan, Ferrer Javier, Carmona Miguel, Uniyal Prashant, Falaguera Maria J, Rusina Polina, Smit Ines, Schwartzentruber Jeremy, Alegbe Tobi, Ho Vivien W, Considine Daniel, Ge Xiangyu, Szyszkowski Szymon, Tsepilov Yakov, Ghoussaini Maya, Dunham Ian, Hulcoop David G, McDonagh Ellen M, Ochoa David

机构信息

Open Targets, Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK.

European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK.

出版信息

Nucleic Acids Res. 2025 Jan 6;53(D1):D1467-D1475. doi: 10.1093/nar/gkae1128.

Abstract

The Open Targets Platform (https://platform.opentargets.org) is a unique, open-source, publicly-available knowledge base providing data and tooling for systematic drug target identification, annotation, and prioritisation. Since our last report, we have expanded the scope of the Platform through a number of significant enhancements and data updates, with the aim to enable our users to formulate more flexible and impactful therapeutic hypotheses. In this context, we have completely revamped our target-disease associations page with more interactive facets and built-in functionalities to empower users with additional control over their experience using the Platform, and added a new Target Prioritisation view. This enables users to prioritise targets based upon clinical precedence, tractability, doability and safety attributes. We have also implemented a direction of effect assessment for eight sources of target-disease association evidence, showing the effect of genetic variation on the function of a target is associated with risk or protection for a trait to inform on potential mechanisms of modulation suitable for disease treatment. These enhancements and the introduction of new back and front-end technologies to support them have increased the impact and usability of our resource within the drug discovery community.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2db4/11701534/4692aba379b6/gkae1128figgra1.jpg

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