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Record W3196359379 · doi:10.1021/acs.jmedchem.1c00868

Development of a Selective Dual Discoidin Domain Receptor (DDR)/p38 Kinase Chemical Probe

2021· article· en· W3196359379 on OpenAlexfundno aff
Sandra Röhm, Benedict‐Tilman Berger, Martin Schröder, Deep Chatterjee, Sebastian Mathea, Andreas C. Joerger, Daniel M. Pinkas, Joshua C. Bufton, Amelie Tjaden, Lohitesh Kovooru, Mark Kudolo, Christian Pohl, Alex N. Bullock, Susanne Müller, Stefan Laufer, Stefan Knapp

Bibliographic record

VenueJournal of Medicinal Chemistry · 2021
Typearticle
Languageen
FieldMedicine
TopicCell Adhesion Molecules Research
Canadian institutionsnot available
FundersStructural Genomics ConsortiumH2020 Research InfrastructuresWellcome Trust
KeywordsDiscoidin domainDDR1ChemistryKinaseReceptor tyrosine kinaseReceptor Protein-Tyrosine KinasesProtein kinase domainCancer researchp38 mitogen-activated protein kinasesCell biologyProtein kinase ABiochemistryBiology

Abstract

fetched live from OpenAlex

Discoidin domain receptors 1 and 2 (DDR1/2) play a central role in fibrotic disorders, such as renal and pulmonary fibrosis, atherosclerosis, and various forms of cancer. Potent and selective inhibitors, so-called chemical probe compounds, have been developed to study DDR1/2 kinase signaling. However, these inhibitors showed undesired activity on other kinases such as the tyrosine protein kinase receptor TIE or tropomyosin receptor kinases, which are related to angiogenesis and neuronal toxicity. In this study, we optimized our recently published p38 mitogen-activated protein kinase inhibitor 7 toward a potent and cell-active dual DDR/p38 chemical probe and developed a structurally related negative control. The structure-guided design approach used provided insights into the P-loop folding process of p38 and how targeting of non-conserved amino acids modulates inhibitor selectivity. The developed and comprehensively characterized DDR/p38 probe, 30 (SR-302), is a valuable tool for studying the role of DDR kinase in normal physiology and in disease development.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.019
GPT teacher head0.304
Teacher spread0.286 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations7
Published2021
Admission routes1
Has abstractyes

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Same venueJournal of Medicinal ChemistrySame topicCell Adhesion Molecules ResearchFrench-language works237,207