MétaCan
Menu
Back to cohort
Record W4404865467 · doi:10.1039/d4md00735b

Toward target 2035: EUbOPEN - a public–private partnership to enable & unlock biology in the open

2024· editorial· en· W4404865467 on OpenAlex
Claudia Tredup, Suzanne Ackloo, Hartmut Beck, Peter J. Brown, Alex N. Bullock, Alessio Ciulli, Ivan Đikić, Kristina Edfeldt, A.M. Edwards, Jonathan M. Elkins, Henner F. Farin, Edward A. Fon, Matthias Gstaiger, Judith Günther, Anna‐Lena Gustavsson, Laura Isigkeit, K. Huber, András Kotschy, Oliver Krämer, Andrew R. Leach, Brian D. Marsden, Hisanori Matsui, Daniel Merk, Florian Montel, Monique P. C. Mulder, Susanne Müller, Dafydd R. Owen, Ewgenij Proschak, Sandra Röhm, Alexandra Stolz, M. Sundström, F. von Delft, Timothy M. Willson, C.H. Arrowsmith, Stefan Knapp

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueRSC Medicinal Chemistry · 2024
Typeeditorial
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCRISPR and Genetic Engineering
Canadian institutionsMcGill UniversityPrincess Margaret Cancer CentreMontreal Neurological Institute and HospitalStructural Genomics ConsortiumUniversity of Toronto
FundersEuropean CommissionEuropean Federation of Pharmaceutical Industries and AssociationsDiamond Light SourceInnovative Medicines InitiativeMcGill University
KeywordsGeneral partnershipOpen dataPublic–private partnershipBiologyBusinessPolitical scienceComputer scienceWorld Wide WebLaw

Abstract

fetched live from OpenAlex

Target 2035 is a global initiative that seeks to identify a pharmacological modulator of most human proteins by the year 2035. As part of an ongoing series of annual updates of this initiative, we summarise here the efforts of the EUbOPEN project whose objectives and results are making a strong contribution to the goals of Target 2035. EUbOPEN is a public-private partnership with four pillars of activity: (1) chemogenomic library collections, (2) chemical probe discovery and technology development for hit-to-lead chemistry, (3) profiling of bioactive compounds in patient-derived disease assays, and (4) collection, storage and dissemination of project-wide data and reagents. The substantial outputs of this programme include a chemogenomic compound library covering one third of the druggable proteome, as well as 100 chemical probes, both profiled in patient derived assays, as well as hundreds of data sets deposited in existing public data repositories and a project-specific data resource for exploring EUbOPEN outputs.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.173
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0030.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.033
GPT teacher head0.365
Teacher spread0.332 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it