Abstract 1646: Discovery and characterization of BAY-6035, a novel benzodiazepine-based SMYD3 inhibitor
Bibliographic record
Abstract
Abstract SMYD3 (SET and MYND domain-containing protein 3) is a protein lysine methyltransferase (PKMT) which was initially described as H3K4 methyltransferase involved in transcriptional regulation. SMYD3 has recently been reported to methylate and regulate several non-histone cancer relevant proteins such as mitogen-activated protein kinase kinase kinase 2 (MAP3K2), vascular endothelial growth factor receptor 1 (VEGFR1), and the human epidermal growth factor receptor 2 (HER2). In addition overexpression of SMYD3 has been linked to poor prognosis in certain cancers, thus supporting a possible oncogenic role for SMYD3 and making it an attractive target for anticancer drug development. Here we report the discovery of a novel potent and selective SMYD3 inhibitor series. We performed a thermal shift assay based (TSA) high throughput screening followed by extensive biophysical validation resulting in identification of a benzodiazepine-based SMYD3 inhibitor series. The co-crystallization structures revealed that this series binds to the substrate binding site and occupies the hydrophobic pocket for lysine binding using an unprecedented hydrogen bond pattern. The competitive behavior of the inhibitor in biochemical assays was consistent with the binding mode observed in the crystal structure. Further optimization generated BAY-6035, which showed improved nanomolar potency and was selective against kinases and other PKMTs. Furthermore, BAY-6035 specifically inhibited methylation of MAP3K2 by SMYD3 in a cellular assay with similar potency. In summary, BAY-6035 is a novel selective and potent SMYD3 inhibitor probe and will foster the exploration of the biologic role of SMYD3 in diseased and non-diseased tissues. Citation Format: Stefan Gradl, Holger Steuber, Jörg Weiske, Norbert Schmees, Stephan Siegel, Detlef Stoeckigt, Clara D. Christ, Fengling Li, Shawna Organ, Dalia Barsyte-Lovejoy, Magdalena M. Szewczyk, Steven Kennedy, Viacheslav Trush, Masoud Vedadi, Cheryl H. Arrowsmith, Peter J. Brown, Manfred Husemann, Amaury E. Fernandez-Montalvan, Volker Badock, Marcus Bauser, Andrea Haegebarth, Ingo V. Hartung, Carlo Stresemann. Discovery and characterization of BAY-6035, a novel benzodiazepine-based SMYD3 inhibitor [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 1646.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".