Demo Data from EDBT 2026 / reviewers in the wild / expert
Prashant Uniyal
dblp:425/2648
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
drug discovery |
0.9 | 1 | 2025 | Associations on the Fly, a new feature aiming to facilitate exploration of the Open Targets Platform evidence · Bioinform. 2025 |
Bioinformatics and computational biology › drug discovery
target identification |
0.9 | 1 | 2025 | Associations on the Fly, a new feature aiming to facilitate exploration of the Open Targets Platform evidence · Bioinform. 2025 |
Bioinformatics and computational biology › drug discovery
target prioritization |
0.3 | 1 | 2025 | Associations on the Fly, a new feature aiming to facilitate exploration of the Open Targets Platform evidence · Bioinform. 2025 |
Methods — techniques the papers use, named apart from their topics
evidence weighting · 0.9GraphQL · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Associations on the Fly, a new feature aiming to facilitate exploration of the Open Targets Platform evidenceabstractMOTIVATION: 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, harmonizes 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 old 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. RESULTS: Here, we describe 'Associations on the Fly' (AOTF), a new Platform feature-developed with a user-centred vision-that enables the user to formulate more flexible therapeutic hypotheses through dynamic adjustment of the weight of contributing evidence from each source, altering the prioritisation of targets. AVAILABILITY AND IMPLEMENTATION: The codebases that power the Platform-including our pipelines, GraphQL API, and React UI-are all open source and licensed under the APACHE LICENSE, VERSION 2.0. You can find all of our code repositories on GitHub at https://github.com/opentargets and on Zenodo at https://zenodo.org/records/14392214. This tool was implemented using React v18 and its code is accessible here: (https://github.com/opentargets/ot-ui-apps). The tools are accessible through the Open Targets Platform web interface (https://platform.opentargets.org/) and GraphQL API (https://platform-docs.opentargets.org/data-access/graphql-api). Data is available for download here: (https://platform.opentargets.org/downloads) and from the EMBL-EBI FTP: (https://ftp.ebi.ac.uk/pub/databases/opentargets/platform/). Carlos Cruz-Castillo, Luca Fumis, Chintan Mehta, Ricardo Esteban Martinez Osorio, Juan María Roldán-Romero, Helena Cornu, Prashant Uniyal, Antonio Solano-Román, Miguel Carmona, David Ochoa, Ellen M. McDonagh, Annalisa Buniello |
Bioinform. | 7 |