Good morning data detectives,
This week’s biotech stories reveal the unexpected: Amgen’s market cap takes a $12B dive as hidden bone density data surfaces, Trace Neuroscience lands $101M to fight ALS, DeepMind’s AlphaFold 3 goes open-source, Los Alamos takes our breath away with its DNA discovery, and Hera Biotech is trading scalpels for smarts in endometriosis diagnostics.
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📉 Hidden data on obesity prospect wipe $12B off Amgen market cap (Fierce Biotech): It seems some poor spreadsheet formatting has cost Amgen dearly. Their Nature Metabolism publication and source data made no mention of bone density, but hidden Excel tabs revealed data from femur, lumbar, and hip DEXA scans quietly tucked away. Sleuthing from a Cantor Fitzgerald analyst cracked the case, and the market reacted accordingly: erasing a cool $12B from Amgen’s valuation.
Our take: Ah, the perils of hidden data! In the high-stakes world of biotech, trust is currency. And when key details such as bone density slips through the net, it risks not just financial havoc but patient trust and regulatory scrutiny. Fortunately for Amgen, investors regained confidence after digging into the data – reclaiming about half of the losses – but let this be a reminder of the importance of transparency…one accidental oversight and the whole house of cards teeters.
👩🏻💻 Google DeepMind open-sources AlphaFold 3: A game-changer for drug discovery and biotech (GeneOnline): Hot on the heels of their Nobel Prize win, the brilliant minds behind at DeepMind have now made AlphaFold 3 open-source. The souped-up AI model predicts standalone protein structures and complex interactions with DNA, RNA, and small molecules better than even the best physics-based models. Scientists can now use the tool for research purposes, although permissions restrict direct commercial use.
Our take: As news of Deepmind’s Nobel Prize initially broke, many lamented that AlphaFold 3 was not open source, unlike its predecessors – but no more! AlphaFold, which significantly drives down the cost and speed of studying molecular interactions, has catalysed a new era of structural biology (you don’t win a Nobel Prize for nothing), and it’s now available to any researcher with a WiFi connection. Kudos to the DeepMind team for championing open-source science to aid in our understanding of disease!
🧠 Maze's ALS spinout Trace Neuroscience raises $101M for ALS and neuro work (Endpoints): Trace Neuroscience has launched with a hefty Series A, backed by Third Rock, Atlas Venture, GV, and RA Capital. The new startup is betting on an antisense oligonucleotide designed to stabilise neuronal signals by correcting UNC13A mis-splicing – a genetic hiccup affecting 97% of ALS patients. With eyes set on a 2026 clinic debut, Trace is also contemplating future ventures into Alzheimer's and frontotemporal dementia.
Our take: Well that’s certainly one way to come out of stealth! ALS is an area of high interest and unmet need, and Eli Lilly’s $45M collaboration with QurAlis has already emphasised UNC13A’s appeal. Trace will need to show an edge in order to beat out other players; the startup is hoping to demonstrate its competitive advantage by learning from past speedy regulatory approvals, such as Biogen’s experience with Qalsody. By refining their strategy, Trace is hoping to address longstanding gaps in treatment options and bring a boost to ALS research.
🧬 New AI model improves prediction power for genomics related to disease (Phys.org): Scientists at Los Alamos National Laboratory have unveiled EPBDxDNABERT-2 (catchy!), a groundbreaking deep learning model that links DNA’s natural “breathing” dynamics – spontaneous openings of the double-helix structure – with transcription factor activity. The model offers sharper insights into protein-DNA interactions, and opens up potential avenues for drug development, especially for complex diseases like cancer.
Our take: EPBDxDNABERT-2 breathes new life into genomics – quite literally. This deep learning model captures the real-time antics of DNA as it opens up to let transcription factors do their job. Traditional models have long stumbled over predicting transcription factor binding, missing the mark by ignoring DNA’s dynamic behaviours. This new model could be a game-changer in bridging the crucial gap between static data and biological reality.
And finally…
❤️🩹 No more invasive tests: Hera Biotech’s endometriosis solution (Forbes): Hera Biotech is boldly stepping up to replace the dreaded laparoscopy with a non-invasive, molecular biomarker test for endometriosis. Founded by ex-VC Somer Baburek, Hera has transformed a basic lab assay from the University of Texas into a streamlined, efficient diagnostic. With $3 million secured and a $5 million Series A in sight, they’re set to update women’s health diagnostics – it’s about time!
Our take: Hera Biotech’s innovation puts a much-needed spotlight on the glaring gaps in women’s health. Endometriosis impacts 190 million globally, yet we’ve seen more femtech dollars poured into wellness apps than medical breakthroughs. In a field where innovation has lagged, Hera’s method could finally push women’s healthcare into a more equitable era. It’s high time endometriosis had a hero…perhaps it’s Hera.
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