2026-10-23

Six science items: an oral STING inhibitor, TLR7/8 antagonists cleared of a BRD4 liability, a mouse-model fix for BRD9 PROTACs, solvated ligand-strain calculation, antitubulin pyrroloquinolines, and a BCL9/β-catenin glioma inhibitor. Business: the Lilly–Metis lipid-nanoparticle deal and Isomorphic Labs' valuation talks.

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Medicinal Chemistry

4 articles

Why BRD9 PROTACs underperform in mice, and a humanized-E3 fix

  • Widely used CRBN- and VHL-based BRD9 degraders such as dBRD9 and VZ185 are much less potent in mouse cells, even though BRD9 itself is highly conserved.
  • The gap points to species differences in the E3 ligases, notably the Crbn I391 residue and structural variation in VHL, which likely hamper ternary complex formation.
  • Expressing human CRBN or VHL, or introducing a CrbnI391V mutation, restored potency in mouse cells and improved BRD9 degradation in vivo.
💡 Points

Anyone who has watched a PROTAC look great in human lines and flat in a mouse efficacy study will recognize this. It is a reminder that degrader PK/PD in rodents can fail for E3 reasons rather than compound reasons, so a CrbnI391V or humanized-E3 model is worth setting up early. It also argues for profiling ternary complex formation across species before reading a negative in vivo result as a dead series.

Improving PROTAC-Mediated Degradation in Mouse Models: BRD9 as a Case Study ↗

Pyrroloquinoline antitubulin agents keep activity in paclitaxel- and daunorubicin-resistant cells

  • A library of 1H-pyrrolo[3,2-c]quinolines was made and mapped by SAR, yielding compounds with low-nanomolar antiproliferative potency and very large selectivity over normal fibroblasts.
  • The best derivatives kept activity in daunorubicin- and paclitaxel-resistant sublines and showed low efflux ratios, suggesting limited cross-resistance.
  • A lead showed rapid absorption, moderate half-life and limited brain penetration, but zebrafish embryo toxicity pointed to a narrow therapeutic window.
💡 Points

Tubulin binders that dodge P-gp efflux are always of interest, and low efflux ratios plus retained activity in resistant lines is the right first filter. The zebrafish result is the honest sting in the tail: potent antimitotics often have a thin margin, so selectivity over fibroblasts in culture will not settle the safety question. I would look next at the binding site and how far the scaffold can be tuned toward a wider window.

Design, Synthesis, and Biological Evaluation of 1H-Pyrrolo[3,2-c]quinolines as Potent and Selective Antitubulin Agents Active against Drug-Resistant Cell Lines ↗

An oral STING inhibitor that blocks palmitoylation shows efficacy in inflammation models

  • Researchers built a tetrahydropyrazolo[1,5-a]pyrazine series as inhibitors of STING, the innate-immune adaptor behind several interferonopathies and autoimmune conditions.
  • The lead, compound 37, combined strong cellular STING inhibition with good oral exposure and a clean safety read.
  • Mechanistically it prevents STING palmitoylation, which in turn shuts down downstream signaling.
  • Oral dosing reduced inflammation in acute chemical-challenge and Trex1-deficient mouse models, among others.
💡 Points

STING inhibitors have mostly been tool compounds or covalent binders, so a non-covalent-looking, orally dosed chemotype that acts by blocking palmitoylation is a different handle on the target. I would want to know whether it truly binds the Cys91 pocket or acts upstream, because that decides selectivity versus other palmitoylated proteins. The Trex1 mouse data is the convincing part for an autoimmune indication.

Discovery of Novel Orally Bioavailable STING Inhibitors with 4,5,6,7-Tetrahydropyrazolo[1,5-a]pyrazine Moiety for STING-Mediated Inflammatory Disorders ↗

Designing out a BRD4 liability from dual TLR7/8 antagonists for lupus

  • Structure-based optimization of 2-(pyridin-2(1H)-one)indoles gave dual TLR7/8 antagonists with better permeability, less ion-channel activity and lower volume of distribution than the earlier series.
  • Early pyridone leads unexpectedly suppressed immune-cell proliferation, which the team traced to a hypothesized BRD4 off-target.
  • Optimizing away BRD4 binding removed the anti-proliferative effect while keeping potent inhibition of TLR7/8-driven IL-6 in human whole blood.
💡 Points

This is a tidy example of phenotype-led off-target triage: odd toxicity in cell panels, a mechanistic guess, then SAR that separates the two activities. Endosomal TLR7/8 antagonists need to be both cell-permeable and cleanly selective, and BRD4 is an easy trap for flat heteroaromatics. I would check the pyridone's binding mode in the TLR7/8 dimer interface before borrowing the fix for other scaffolds.

Structure-Based Design of 2-(Pyridone)Indoles as Antagonists of the Toll-Like Receptors TLR7 and TLR8 for the Treatment of Autoimmune Disorders ↗

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Pharmacology

1 article

A small-molecule BCL9/β-catenin blocker is tested in glioblastoma cells

  • Because BCL9, a β-catenin coactivator, had lacked small-molecule inhibitors, its therapeutic value in glioblastoma had not been tested pharmacologically.
  • The new inhibitor ZD37-28R was predicted by docking to bind β-catenin, and it disrupted the BCL9/β-catenin interaction in vitro.
  • It suppressed β-catenin-driven transcription and reduced proliferation and migration of U87-MG and U251 glioblastoma cells.
💡 Points

Wnt/β-catenin has been a graveyard for small molecules, and a BCL9-selective PPI blocker is a more tractable angle than hitting β-catenin broadly. The open questions are the usual PPI ones: direct biophysical evidence of binding rather than docking, selectivity against other β-catenin partners, and brain exposure for a glioma indication. Treat this as target validation work, not a lead yet.

Pharmacological Study of Novel Small-Molecule Inhibitors Targeting B-Cell Lymphoma 9/β-Catenin in the Treatment of Glioma ↗

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Computational & AI

1 article

A solvated neural-network potential makes ligand strain estimates usable at library scale

  • Conventional strain estimates reference a single gas-phase minimum, which ignores solvent and distorts charged ligands whose internal electrostatics collapse them into compact structures in vacuo.
  • AIMNet2-CPCM, a neural network potential trained on DFT-level energies and forces in a continuum solvent, handles neutral and charged species on equal footing.
  • GPU batch inference makes a solvated global-minimum search feasible across a full screening library.
  • Across roughly 8,000 PDB ligands, solvated strain rises with net charge, with a trend that holds up to a charge of −2.
💡 Points

Strain filters are only as good as the unbound reference, and anyone who has seen a zwitterion fold into a salt bridge in vacuo knows why gas-phase numbers mislead. A solvated, charge-aware potential fast enough for library triage is something I would actually put in a docking post-filter. The caveat is the less reliable behavior at higher negative charge, which matters for acids and phosphates.

Efficient and Accurate Ligand Strain Calculations in Solution with the AIMNet2 Neural Network Potential ↗

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Industry News

2 articles

Isomorphic Labs' reported valuation raises the stakes for AI drug discovery

  • STAT's AI Prognosis column asks what Isomorphic Labs' very high valuation says about AI's role in drug development.
  • Separate reports describe early talks to raise new funds at a valuation of at least $40 billion, shortly after a roughly $2.1 billion round in May 2026; no financing has closed.
  • The column also touches on the debate over AI and the cost of care.
💡 Points

A valuation at this level prices in platform optionality, not pipeline: Isomorphic has no disclosed clinical-stage proof yet, so investors are paying for the possibility that structure-prediction AI compresses the road to a first candidate. For the rest of the sector, it raises the bar for what AI-native biotechs must show clinically, and it will pull partnering money toward the leaders. Treat the figure as talks, not a closed deal.

STAT+: What's the deal with Isomorphic Labs? ↗

Lilly bets on Metis's AI platform for tissue-targeted lipid nanoparticles

  • Eli Lilly and Hong Kong-listed METiS TechBio agreed a collaboration worth up to about $1.1 billion to develop tissue-specific delivery technologies.
  • METiS contributes its AiLNP platform for ionizable lipid discovery, combining a large lipid library, screening and a lipid language model.
  • Metis gets a low double-digit-million upfront, plus development, regulatory and commercial milestones and single-digit tiered royalties; no candidates or indications were named.
💡 Points

The headline figure is almost all contingent, so the real signal is the low-eight-figure upfront: Lilly is buying an option on delivery chemistry, not an asset. Extra-hepatic LNP targeting is the bottleneck for genetic medicines, and Lilly keeps stacking deals around it. For competitors in LNP design, the question is whether AI-generated lipid libraries can show reproducible tissue selectivity in vivo.

Lilly partners with Hong Kong's Metis in $1.1B deal to bolster AI nanoparticle discovery ↗

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