Archive · 2026 · September 2026

Daily digest — 2026-09-22

2026-09-22

Today: 8 science items — CK1δ and PARP-1/CK2α degraders, PCNA and HBV capsid optimization, a DEL/ML benchmark — plus 5 business stories: Telix's ITM buyout, Alkermes' ADHD data, Novo's strategy day, a HUTCHMED-GSK deal, and BioNTech's vaccine halt.

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Medicinal Chemistry

5 articles

Novel Dihydropyridine Series Delivers Potent Caspase-1 Antagonists

  • A new series of dihydropyridine-derived small molecules is reported as antagonists of caspase-1, a cysteine protease central to inflammasome signaling.
  • Caspase-1 activation drives maturation of the pro-inflammatory cytokines IL-1β and IL-18, making it a longstanding target in inflammation and inflammasome-related disease research.
  • The dihydropyridine scaffold, more commonly associated with calcium-channel pharmacology, is explored here as a chemotype for caspase-1 antagonism.
  • Compound activity was characterized using in vitro fluorescence-based enzymatic assays to gauge caspase-1 antagonism.
  • Cell imaging was used alongside the biochemical assays to examine compound behavior and target engagement in a cellular context.
  • The study, published in ChemMedChem, presents this dihydropyridine series as a structure-activity starting point for further caspase-1/inflammasome-directed medicinal chemistry.
💡 Points

First reaction: that's a nifedipine scaffold sitting in a caspase-1 SAR table. Bold, slightly nervy move — DHPs are about as pharmacologically 'loaded' as chemotypes get, so before getting excited about any hit here I'd want an L-type calcium-channel counter-screen and a broader Cav/hERG panel run immediately; that vasodilatory liability doesn't vanish just because you've redirected the scaffold at a protease. Caspase-1 itself is a reasonable target — druggable active-site cysteine, real precedent from peptidomimetic inhibitors — but selectivity across the caspase family, not potency, is the real hurdle here. The fluorescence assay plus cell imaging is the right combo methodologically: biochemical IC50s alone can't distinguish real antagonism from aggregation, chelation, or off-target channel hits, so imaging buys an early cellular engagement check before committing to a full selectivity panel.

Potent Caspase-1 Antagonists From Dihydropyridine Derivatives: In Vitro Fluorescence Assays and Cell Imaging ↗

Second-Generation AOH1996 Analogues Show Improved Potency Against Cancer-Associated PCNA

  • PCNA supports at least 11 cellular pathways in DNA replication and repair; tumor cells express a distinct acidic isoform (caPCNA) not found in normal cells, creating a potential cancer-selective drug target.
  • AOH1996 is City of Hope's first-in-class small-molecule PCNA inhibitor, which binds the PIP-box pocket to disrupt caPCNA protein interactions and selectively kill malignant cells.
  • This paper describes second-generation AOH1996 analogues built through systematic structure-activity relationship work (substituent changes, bioisosteric replacement, linker and heteroatom modification, scaffold hopping) across all four pharmacophore regions.
  • Lead analogues showed improved cellular potency against multiple cancer cell lines and better liver microsomal stability than first-generation AOH1996, supporting further lead optimization of this PCNA-targeted chemotype.
💡 Points

- The real headline isn't the potency bump — it's that the PIP-box pocket, a shallow PPI interface people wrote off as undruggable, actually supports systematic SAR across four independent pharmacophore regions. That's a proper chemotype, not a lucky HTS hit. - Getting better cellular potency AND better microsomal stability out of substituent/bioisostere/linker/scaffold-hop work is the signal I want at this stage — potency alone would leave me wondering if you'd just traded one metabolic liability for another. - "Selective for caPCNA" is a claim I'll hold loosely until I see a real therapeutic index — normal-cell counterscreens and in vivo tox, not just cancer-line IC50s. The acidic-isoform story is attractive but easy to oversell. - Still, beating first-gen AOH1996 on both axes is the right trajectory for a second-gen PPI series.

Second-Generation AOH1996 Analogues with Enhanced Pharmacological Properties for Targeting PCNA ↗

New CK1δ-Targeting Degraders Curb NRAS-Mutant Melanoma Growth

  • Building on prior work identifying CK1δ as an upstream stabilizer of oncogenic NRAS, the team developed small-molecule degraders that trigger CK1δ's proteasomal breakdown.
  • Chemical optimization focused on achieving selectivity for CK1δ over its close paralogs CK1α and CK1ε, which share highly similar kinase domains.
  • Iterative structure-activity relationship analysis across a synthesized compound series balanced degradation potency, isoform selectivity, and cellular activity.
  • Degrading CK1δ removed its support for oncogenic NRAS protein stability, lowering NRAS levels and dampening downstream signaling in melanoma cells.
  • In NRAS-mutant melanoma cell models, the optimized degraders suppressed proliferation, positioning CK1δ degradation as a potential strategy for an otherwise hard-to-drug oncogenic driver.
💡 Points

CK1δ/α/ε selectivity is the real fight here — those kinase domains are similar enough that classic ATP-competitive chemistry rarely holds up cleanly; if they're threading that needle with a degrader, ternary-complex geometry, not just binary affinity, is probably doing the selectivity work, which is the whole pitch for going bifunctional over yet another inhibitor. Smart use of event-driven pharmacology to reach something genuinely undruggable — NRAS has no covalent handle like G12C, so knocking down an upstream stabilizer is a legitimate end-run, not a gimmick. Still want to see the actual chemotype and E3 handle before getting excited — 'synthesized series, iterative SAR' tells me nothing about scaffold novelty or synthetic cost, and degrading a kinase with this many substrates makes me nervous about toxicity beyond the CK1α story. If selectivity and PK hold up in vivo, this is a template worth stealing for other 'stabilizer' targets propping up undruggable oncoproteins.

Discovery and Synthesis of Selective Casein Kinase 1δ Degraders for Suppressing Oncogenic NRAS-Mutant Melanoma ↗

Dual-Acting M3/H1 Antagonists Designed for Long-Lasting Rhinitis Relief

  • Rhinitis is a heterogeneous upper-airway inflammatory condition whose chronic symptoms, especially in mixed and nonallergic disease, often resist first-line intranasal antihistamines and corticosteroids.
  • The authors designed bifunctional small molecules combining muscarinic M3 antagonism, which limits glandular hypersecretion and rhinorrhea, with histamine H1 antagonism, which limits itch, sneezing and vasodilation.
  • A structure-activity relationship campaign balanced potency at both receptors within a single scaffold while extending duration of action, targeting once-daily control rather than short-acting relief.
  • Lead compounds were profiled for pharmacokinetics, receptor selectivity and safety, distinguishing this dual-target strategy from conventional single-mechanism antihistamines or anticholinergics.
  • This positions combined M3/H1 antagonism as a candidate approach for rhinitis, including mixed and nonallergic forms, poorly controlled by existing monotherapies.
💡 Points

Single scaffold, two GPCR pharmacophores, no PK penalty — that's the hard part, not the target rationale. Anyone who's tried to graft an M3 antagonist pharmacophore onto an H1 chemotype knows the tightrope: push affinity at one receptor and you drag the other's SAR along for the ride, or worse, the two optimize in opposite directions on logP/basicity. If they actually held balanced dual potency while stretching half-life toward once-daily dosing, that's real design work, not a screening accident. Target rationale is the more interesting sell, though — mixed/nonallergic rhinitis genuinely doesn't respond well to a single mechanism, so this isn't a me-too antihistamine with a longer half-life. Show me the selectivity margins before I get excited: M3 hits M2/M1 too easily, and dry mouth/blurred vision/urinary retention kill programs late. Therapeutic window on the anticholinergic side is the whole ballgame here.

Discovery of Long-Acting Bifunctional Compounds with Muscarinic M3 and Histamine H1 Receptor Antagonism for the Treatment of Rhinitis ↗

Dual PARP-1/CK2α Inhibitors Aim Beyond HRD-Restricted Tumors

  • Researchers designed a new class of small molecules built on a benzothieno[3,2-d]pyrimidin-4(1H)-one scaffold that simultaneously inhibits PARP-1 and casein kinase 2 alpha (CK2α).
  • PARP-1 inhibitors typically benefit only tumors with homologous recombination deficiency (HRD); pairing PARP-1 blockade with CK2α inhibition, a kinase linked to DNA damage response and cell survival signaling, is proposed to extend efficacy to HRD-proficient tumors and limit metastatic spread.
  • Structure-activity relationship exploration identified substituents on the tricyclic core that support potent, balanced binding at both targets.
  • In cellular and tumor models, the dual inhibitors reportedly show antiproliferative and anti-metastatic activity independent of HRD status, supporting dual-target inhibition as a route beyond BRCA-mutant-restricted use.
💡 Points

Holding balanced dual-target SAR on one scaffold is the real difficulty here, not the headline claim — PARP-1's nicotinamide pocket and CK2α's ATP site are shaped nothing alike, so a substituent you add to hold potency at one target can quietly tank the other. I'd want the full SAR table, not just the lead actives, before believing that balance survives further optimization. The real payoff isn't PARP-1 potency itself, it's escaping the BRCA/HRD ceiling — another single-target PARP inhibitor chasing olaparib's lane is a hard sell, but HRD-independent activity actually opens new patient populations. The tricyclic benzothienopyrimidinone core gives usable vectors for dual substitution, though fusing two pharmacophores tends to inflate MW and logP fast. Next data I need: kinome-wide selectivity beyond CK2α, in vivo therapeutic window, and whether the anti-metastatic signal holds up against a PARP-1-only comparator.

Simultaneous Inhibition of PARP-1 and CK2α by Novel Benzothieno[3,2-d]pyrimidin-4(1H)-one Derivatives: A Promising Strategy to Combat Homologous Recombination Deficiency-Independent Tumors and Metastasis ↗

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Computational & AI

3 articles

Machine Learning and Docking Methods Show Uneven Generalization on DNA-Encoded Library Screens

  • The study benchmarks machine learning, physics-based docking, and cofolding methods for predicting protein-ligand binding using DNA-encoded library (DEL) screening data.
  • Methods compared include state-of-the-art ML models alongside physics-based docking tools (Schrodinger Glide, Rosetta GALigandDock) and the cofolding method Boltz-2.
  • Ground-truth binding data came from ultralarge DEL selection experiments across three biologically diverse protein targets and multiple DEL synthesis formats.
  • The work follows a NeurIPS competition in which even top-performing ML models trained on DEL data failed to generalize to out-of-distribution (OOD) chemical space.
  • ML models performed well in-distribution, but out-of-distribution hit discrimination depended on the specific target and ligand context, with no single method consistently dominating across cases.
  • The authors conclude that benchmark performance alone cannot predict OOD generalization and release an open-source package, DEL-iver, for evaluating binding-prediction methods against DEL screening data.
💡 Points

This is the paper you send to anyone pushing to swap your docking rescore step for a single ML model. "No method dominates OOD" is the whole ballgame: your real triage work is always on a scaffold the model hasn't seen, and a benchmark AUC built on in-distribution DEL data tells you almost nothing about how a model will rank the novel matter you bring in next week. I don't read this as an argument against ML - Boltz-2 and friends are genuinely useful, fast filters - but as a case for running physics-based docking/cofolding in parallel, not as a fallback you only reach for when ML looks shaky. Target- and ligand-context dependence also means there's no one 'best' pipeline to standardize on company-wide; you validate per target, per chemotype, every time. DEL-iver going open-source is the practically useful bit - a shared OOD benchmark beats trusting a vendor's Tanimoto-flattered internal numbers.

Assessing the Generalizability of Machine Learning and Physics-Based Methods with DNA-Encoded Libraries ↗

AI-Driven Lead Optimization Delivers 11B-6, a More Potent HBV Capsid Modulator

  • Investigators describe a multi-objective lead-optimization campaign built on the sulfamoylbenzamide (SBA) chemotype exemplified by NVR 3-778, an earlier clinical-stage HBV capsid assembly modulator (CAM).
  • An AI-guided computational workflow was integrated with iterative synthesis to simultaneously optimize antiviral potency alongside physicochemical and ADME/drug-like properties across the series.
  • The campaign identified 11B-6 as the optimized lead, reported to combine stronger anti-HBV potency with improved drug-like characteristics relative to earlier series analogues.
  • Mechanistically, 11B-6 functions as a capsid assembly modulator, engaging the HBV core (capsid) protein to misdirect nucleocapsid assembly and interfere with viral replication.
  • The work positions 11B-6 as a candidate for further preclinical evaluation within the sulfamoylbenzamide CAM class for chronic hepatitis B treatment.
💡 Points

What actually catches my eye isn't the potency bump — it's that AI-guided optimization was wired into the synthesis loop, not run as a pre-filter before chemists took over. That's the difference between a screening deck and a real DMTA cycle. Going back to the SBA/NVR 3-778 chemotype rather than hunting a new capsid-binding scaffold is the pragmatic call: the pocket and assembly-misdirection mechanism are already de-risked clinically, so this campaign is buying SAR knowledge instead of paying discovery tax twice. That said, 'improved drug-like properties' is a claim I want backed by real microsomal stability, plasma protein binding, and hERG numbers before I get excited — potency plus a nicer cLogP on paper doesn't guarantee 11B-6 clears whatever tolerability hurdle likely sank NVR 3-778. Worth watching, not yet worth celebrating.

Integrated AI-Driven Multi-Objective Optimization of Sulfamoylbenzamide-Based HBV Capsid Assembly Modulators: Discovery of 11B-6 with Superior Potency and Drug-like Properties ↗

New Computational Score Aims to Predict PROTAC Oral Absorption

  • PROTACs (proteolysis-targeting chimeras) are large, polar, conformationally flexible molecules that fall outside classical Rule-of-5 space, making oral absorption difficult to predict from standard physicochemical filters alone.
  • The paper introduces a fully computational scoring approach for oral absorption, intended to support rational, in silico PROTAC design earlier in the discovery process rather than relying mainly on measured properties.
  • The score is built from computed molecular descriptors likely spanning size, polarity/lipophilicity balance, flexibility, and conformational behavior such as intramolecular folding — features previously linked to permeability in beyond-Rule-of-5 compounds.
  • By combining these descriptors into a single predictive metric, the method aims to help chemists rank or triage PROTAC candidates for oral-absorption potential before synthesis.
  • The authors position the score as a practical design-stage tool for guiding linker, warhead, and E3-ligand modifications toward improved oral bioavailability, complementing rather than replacing experimental permeability assays.
💡 Points

Any tool that lets me deprioritize a bad linker before I burn two weeks on synthesis and a Caco-2 run is welcome — PROTAC medchem cycles are brutal, and "just make it and test permeability" stops being an option once your library is 50+ analogs deep. That said, I've seen enough beyond-Ro5 permeability models oversell intramolecular H-bonding and chameleonic folding to stay skeptical until I see the validation set and how it handles my actual chemotypes — conformational behavior is exactly the thing computation still fakes worst. Where this actually helps is triage, not truth: rank candidates, flag the obvious dead-on-arrivals, then spend the wet-lab budget on the borderline cases. That's a real upgrade over eyeballing MW/PSA/cLogP cutoffs, which everyone in the PROTAC space already knows don't apply. If the descriptors genuinely capture folding propensity rather than just correlating with size, this could meaningfully shift where we spend linker SAR effort.

Toward Rational Design of Orally Bioavailable PROTACs: Development of a Fully Computational Oral Absorption Score ↗

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Industry News

5 articles

Alkermes Reports First Positive Orexin-Agonist Data in ADHD With ALKS 7290 Phase 1b Trial

  • Phase 1b study randomized 88 healthy volunteers and 50 adults with ADHD to ALKS 7290 20mg, 50mg, or placebo for 14 days, following a 2-week washout of existing ADHD medications.
  • Participants began with a median AISRS score of ~39 (moderate-to-severe); by Day 14, reported median reductions were 14.0 points with 20mg and 19.0 points with 50mg, with the higher dose bringing scores into the mild range.
  • Improvement was reported as early as Day 6 and spanned both inattentive and hyperactivity/impulsivity subscales; CGI-S scores fell by a median of 1 point (20mg) and 2 points (50mg).
  • The drug was generally well tolerated across doses.
  • This marks the first clinical evidence that an orexin 2 receptor agonist -- a drug class previously studied for rare sleep disorders like narcolepsy -- can improve ADHD symptoms.
  • Alkermes describes the results as exploratory proof-of-concept rather than a powered efficacy readout, and says they support the dosing already chosen for an ongoing Phase 2 trial.
💡 Points

A genuinely new mechanism in ADHD is rare and commercially precious — this is the first clinical signal that orexin-2 agonism, a pathway built for narcolepsy, can move core ADHD symptoms, in a market still anchored by decades-old stimulant chemistry and underwhelming non-stimulants like atomoxetine and viloxazine. If it replicates, a non-stimulant with this magnitude of effect and no controlled-substance baggage would be a real wedge against stimulant-class incumbents. But read the fine print: only 50 ADHD patients, an unpowered Phase 1b that Alkermes itself calls exploratory proof-of-concept — sizeable AISRS drops here can evaporate once a properly powered, placebo-controlled Phase 2 reads out. For Alkermes, it's a second shot on goal for the orexin-2 franchise beyond narcolepsy (ALKS 2680), spreading platform risk into a much larger indication. Investors should treat this as a call option, not a catalyst, until Phase 2 data land.

Alkermes' orexin agonist shows potential to treat ADHD in early-stage trial ↗

Novo Nordisk Unveils 2030 Growth Strategy at Capital Markets Day; Shares Slide on Thin Details

  • At its Sept. 21, 2026 Capital Markets Day in London, new CEO Mike Doustdar unveiled a strategy to scale Novo Nordisk's obesity franchise and diversify the pipeline beyond diabetes/obesity.
  • Targets include 10x capacity for oral GLP-1 obesity therapy, serving more than 60 million patients globally by 2030, and launching 5+ "multi-blockbuster" products by 2030.
  • Novo also set a goal of more than DKK150 billion (about $23 billion) in risk-adjusted pipeline sales by 2035, and pledged to be "more active" in business development (licensing/M&A) and direct-to-consumer sales models.
  • The moves are aimed at addressing investor concern that Novo is too reliant on its GLP-1 franchise.
  • Market reaction was negative: shares fell sharply intraday (reports of roughly 5-9%), as analysts said the plan was strong on ambition but thin on new specifics, amid rising competition from Eli Lilly's tirzepatide/Zepbound.
💡 Points

This is the payoff to last week's "Novo" rebrand, and the market just delivered its verdict: a 2030/2035 target set with no concrete near-term catalyst is guidance, not proof, so shares got sold rather than bought. The real signal isn't the capacity or blockbuster math — it's the pledge to get "more active" in business development. That's Doustdar admitting the internal pipeline can't diversify fast enough on its own, especially with Lilly's tirzepatide/Zepbound machine still taking share while Novo's oral GLP-1 scale-up remains years out. Ambition claims parity; execution proves it. The next real test isn't another investor-day slide — it's whether Doustdar actually closes a deal or lands an R&D readout in the coming quarters, or whether this was sentiment management dressed up as strategy.

With new strategy, Novo outlines plans for obesity, direct-to-consumer work ↗

Telix Acquires Radioisotope Maker ITM in Deal Worth Up to $2.35B After FDA Setback

  • Telix Pharmaceuticals (Australia) agreed to acquire privately held ITM Isotope Technologies Munich (Germany) for about $1.65 billion upfront, largely in Telix shares plus assumed ITM debt, with up to $700 million more in milestones for a potential $2.35 billion total.
  • The deal follows the FDA's surprise rejection of ITM's lead drug ITM-11, a GEP-NET radiopharmaceutical meant to rival Novartis's Lutathera, over manufacturing issues at a third-party facility, not safety or efficacy concerns.
  • ITM also brings a profitable, commercial-scale isotope production and supply business, strengthening Telix's control over its radiopharmaceutical isotope supply chain.
  • Post-close, Telix shareholders will hold about 76.3% of the combined firm, with ITM shareholders holding about 23.7%.
  • Combined pro forma 2026 revenue is projected above $1.3 billion, with positive operating earnings expected from 2027.
💡 Points

This is a supply-chain acquisition wearing a pipeline-expansion label. Telix just watched ITM's lead asset get rejected over third-party manufacturing — not efficacy — so buying the isotope producer outright is the cleanest way to internalize that risk rather than keep depending on external CDMOs. Expect Telix to lean hard on ITM's commercial-scale production capacity to de-bottleneck its own growing radiotherapeutic franchise. The structure tells the real story: roughly $1.65B mostly in stock plus assumed debt, with $700M gated behind milestones, is classic risk-sharing for an asset whose flagship product just got an unexpected FDA no. Telix isn't paying cash for certainty it doesn't have yet. Strategically, this vaults Telix into direct, vertically integrated competition with Novartis's Lutathera franchise, and signals radiopharma is entering a consolidation phase where isotope supply, not just molecules, is the scarce asset worth owning.

Radiopharma companies merge after one receives surprise FDA rejection ↗

GSK licenses HUTCHMED's first-in-class KRAS-EGFR conjugate HMPL-A830 in deal worth up to $1.3B

  • HUTCHMED and a GSK subsidiary signed an exclusive development and license agreement for HMPL-A830, described as a first-in-class KRAS-EGFR Antibody-Targeted Therapy Conjugate (ATTC).
  • HMPL-A830 pairs a highly selective, potent small-molecule KRAS inhibitor payload with an anti-EGFR antibody, delivering the inhibitor selectively to EGFR-expressing tumor cells while also blocking EGFR signaling.
  • GSK gains worldwide development and commercialization rights excluding Mainland China, Hong Kong, Macau and Taiwan, which HUTCHMED retains.
  • Deal terms: $110 million upfront, up to $1.295 billion in additional development, regulatory and commercial milestone payments, plus tiered royalties on net sales.
  • HUTCHMED will conduct the global Phase 1 program, expected to start in H2 2026, after which GSK takes over subsequent clinical development and commercialization.
  • Initial clinical development will focus on colorectal, pancreatic and lung cancers.
💡 Points

Another Western major fills its oncology pipeline via China-origination rather than in-house discovery — GSK joins a fast-growing queue of ADC/conjugate deals mining HUTCHMED's pipeline for de-risked-but-early assets. The math is telling: $110M upfront against a $1.295B ceiling is roughly 8.5% at signing — real conviction, heavily hedged, standard for a preclinical/Phase 1 asset where GSK is paying mostly for optionality until clinical data lands. The ATTC design — a small-molecule KRAS payload riding an EGFR antibody — is a genuinely differentiated angle in an overcrowded KRAS field, avoiding classic cytotoxic-ADC toxicity while adding tumor-selective targeting. And HUTCHMED keeping Greater China rights again signals its now-familiar playbook: license out ex-China, retain commercial control at home.

GSK to license Hutchmed's KRAS-EGFR cancer drug for $110M upfront ↗

BioNTech, Genentech Terminate Phase 2 Trial of mRNA Cancer Vaccine Autogene Cevumeran in Colorectal Cancer

  • Autogene cevumeran is an individualized, tumor-specific neoantigen mRNA vaccine designed to trigger a T-cell response against a patient's unique tumor mutations.
  • Phase 2 trial BNT122-01, run with Genentech, evaluated it as adjuvant monotherapy versus watchful waiting in ctDNA-positive patients with surgically resected Stage II (high-risk) or Stage III colorectal cancer, targeting roughly 327 enrollees with disease-free survival as the primary endpoint.
  • BioNTech and Genentech terminated the trial on August 28, 2026, after an independent Data Safety Monitoring Board (DSMB) identified a numerical overall-survival imbalance disfavoring the vaccine arm and concluded continuation was unlikely to change the efficacy outcome; no new safety signals were found.
  • A separate, unaffected Phase 2 trial (Imcode003) continues to evaluate autogene cevumeran combined with checkpoint inhibition and chemotherapy in adjuvant pancreatic ductal adenocarcinoma.
  • BioNTech shares fell as much as 8% on the news.
💡 Points

An OS imbalance with no new safety signal is a different failure mode than a safety-driven halt — it indicts adjuvant monotherapy in CRC, not necessarily neoantigen mRNA vaccines as a modality. That distinction matters competitively: Moderna/Merck's V940 (INT) has paired its individualized vaccine with pembrolizumab from the outset rather than testing it solo against watchful waiting, and BioNTech's own still-running pancreatic trial (Imcode003) uses that same vaccine-plus-checkpoint-inhibitor-plus-chemo architecture. So the part of the platform that just failed is arguably its least mechanistically ambitious use case. The 8% single-day drop on one Phase 2 readout, though, is the bigger tell — it shows how much of BioNTech's valuation still rests on individualized-vaccine optionality rather than de-risked, validated pipeline.

BioNTech, Genentech terminate Phase 2 of personalized mRNA cancer vaccine ↗