惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

D
DataBreaches.Net
N
Netflix TechBlog - Medium
P
Proofpoint News Feed
D
Docker
J
Java Code Geeks
L
LangChain Blog
Microsoft Security Blog
Microsoft Security Blog
The GitHub Blog
The GitHub Blog
I
InfoQ
Stack Overflow Blog
Stack Overflow Blog
云风的 BLOG
云风的 BLOG
Engineering at Meta
Engineering at Meta
MongoDB | Blog
MongoDB | Blog
月光博客
月光博客
T
Tailwind CSS Blog
M
MIT News - Artificial intelligence
Blog — PlanetScale
Blog — PlanetScale
Google DeepMind News
Google DeepMind News
腾讯CDC
罗磊的独立博客
U
Unit 42
爱范儿
爱范儿
Vercel News
Vercel News
MyScale Blog
MyScale Blog

Google DeepMind News

Strengthening Singapore’s AI Future: A New National Partnership Simulate real-world places with Project Genie and Street View Introducing Gemini Omni Gemini for Science: AI experiments and tools for a new era of discovery Making it easier to understand how content was created and edited Gemini 3.5: frontier intelligence with action Co-Scientist: A multi-agent AI partner to accelerate research How WeatherNext helped the National Hurricane Center better predict Hurricane Melissa’s historic landfall in Jamaica Fast-tracking genetic leads to reverse cellular aging Finding the molecular switches behind new infectious diseases Opening new paths in aging research Accelerating discovery of liver disease mechanisms Uniting biological toolkits for a new approach to ALS Uncovering repurposed medicines to fight liver fibrosis Google Antigravity We’re launching the Google DeepMind Accelerator program in Asia Pacific to tackle environmental risks. AlphaEvolve: How our Gemini-powered coding agent is scaling impact across fields Enabling a new model for healthcare with AI co-clinician Announcing our partnership with the Republic of Korea Decoupled DiLoCo: A new frontier for resilient, distributed AI training Partnering with industry leaders to accelerate AI transformation Gemini 3.1 Flash TTS: the next generation of expressive AI speech Gemini Robotics-ER 1.6: Powering real-world robotics tasks through enhanced embodied reasoning Protecting people from harmful manipulation From games to biology and beyond: 10 years of AlphaGo’s impact A new way to express yourself: Gemini can now create music Accelerating discovery in India through AI-powered science and education Accelerating Mathematical and Scientific Discovery with Gemini Deep Think D4RT: Teaching AI to see the world in four dimensions Veo 3.1 Ingredients to Video: More consistency, creativity and control
Revealing a key protein behind heart disease
2025-11-25 · via Google DeepMind News

November 25, 2025 Science

In a breakthrough powered by AlphaFold, scientists have mapped the structure of the large protein that gives “bad cholesterol” its form – a discovery that could help transform how researchers and clinicians treat the world’s leading cause of death

The race to reveal a key protein behind heart disease has long been both an important public health goal and a stubborn scientific problem.

For assistant professors Zachary Berndsen and Keith Cassidy at the University of Missouri (Mizzou), it was also personal. Both have a family history of heart disease – a reminder of what’s at stake in their work to better understand and ultimately help treat this deadly condition.

“For 50 years, people have wanted to see what this protein looked like,” says Berndsen.

That protein, apoB100, has defied mapping not only because it’s enormous (for a protein), but also because it connects to fats and other molecules in complicated ways. ApoB100 forms the molecular scaffold of “bad cholesterol”, which is known to scientists as low-density lipoprotein (LDL).

LDL is the major carrier of fat through the bloodstream and a key risk factor for atherosclerotic cardiovascular disease (ASCVD), the world’s leading cause of death. Discovering the structure of its key protein promised to shed light on how bad cholesterol becomes harmful inside the body, giving scientists a better chance to develop ways to prevent and treat ASCVD. AlphaFold is playing a central role in this effort.

At Mizzou, biochemist Berndsen first used cryo-electron microscopy (cryo-EM) to capture images of LDL particles. The images weren’t sharp enough to map the structure of apoB100 with atomic precision, so Berndsen’s physicist collaborator, Cassidy, turned to AlphaFold. He used it to generate atomic-resolution predictions of the protein’s structure and then refined those predicted shapes by comparing them against the cryo-EM image data.

Coming at the problem using both cryo-EM microscopy and Alphafold is what unlocked this breakthrough, says Cassidy: “AlphaFold played a profound role in this discovery, providing the raw material to interpret our experimental structure in a way that was frankly impossible before.”

The resulting model revealed bad cholesterol’s key protein in remarkable detail: a cage-like shell that wraps around each LDL particle, including a ribbon-like belt that keeps the particle intact in the bloodstream. Knowing this structure opens new possibilities for preventing, diagnosing and treating high cholesterol and ASCVD, including therapies that could target LDL more precisely. The potential benefit to global health is hard to overstate.

While such applications will take time, revealing the structure of apoB100 is a landmark achievement, and a deeply satisfying one for Berndsen. “It was the first structure I ran through AlphaFold the week it became available, and the first protein I wanted to look at with our two-storey cryo-EM machine,” he says. “Solving the structure of apoB100 was a dream come true.”