A milestone breakthrough! Google DeepMind launches a new generation of drug development AI model AlphaFold 3
胡胡胡美丽_ss
发表于 2024-5-9 10:53:54
204
0
0
On Wednesday Eastern Time, Google DeepMind released a new generation of AlphaFold 3 models for predicting protein structure, which can help scientists more accurately target disease mechanisms and develop more effective therapeutic drugs.
DeepMind researchers state that AlphaFold 3 is an artificial intelligence (AI) model that can predict the structure of biomolecules such as proteins, DNA, RNA, and how they interact.
DeepMind CEO Damis Hassabis said at a press conference on Tuesday that AlphaFold 3 is an important milestone for us. "Biology is a dynamic system, and you must understand how physiological characteristics are generated through the interactions between different molecules in cells. You can see AlphaFold 3 as a big step forward in this direction."
Hassabis added that the breakthrough research paper will be published in Nature on Wednesday, and AlphaFold 3 can significantly reduce the time and funding required to develop life changing treatments.
In addition, DeepMind has launched AlphaFold Server, a free platform for global scientists to use for non-commercial research.
Milestone breakthrough
In 2018, DeepMind launched the first generation AlphaFold model and won first place in the international protein structure prediction competition. In 2020, AlphaFold 2 continued to demonstrate astonishing predictive accuracy and is considered a milestone breakthrough in the field of protein structure prediction.
Now, AlphaFold 3 goes further, predicting the structure of almost all biomolecules and simulating the interactions between these molecules. Although researchers have developed specialized computational methods to simulate interactions between specific types of biomolecules, AlphaFold 3 is the first single system to predict interactions between almost all molecular types with state-of-the-art performance.
If ordinary experimental methods are used to understand the interactions between molecules, it may take several years of research time and the cost is prohibitively high. But if these interactions can be obtained with sufficient accuracy through calculations, biological research can be greatly accelerated.
For example, if researchers believe that a molecule that can bind to a specific protein site may be a promising drug candidate, they can use AI systems like AlphaFold 3 to test potential drug molecules.
Nobel laureate and geneticist Paul Nass commented that AlphaFold is constantly improving and becoming increasingly important for biological research. AlphaFold 3 can predict the structure of complexes between different macromolecules with higher accuracy, as well as the interactions between macromolecules, small molecules, and ions.
Dr. Ivo Tews from the University of Southampton called AlphaFold 3 a leap and stated that his laboratory will use it to develop drugs for treating cancer. He added, "This will save a lot of time and accelerate research by generating models, and then we can explore with new experiments."
CandyLake.com 系信息发布平台,仅提供信息存储空间服务。
声明:该文观点仅代表作者本人,本文不代表CandyLake.com立场,且不构成建议,请谨慎对待。
声明:该文观点仅代表作者本人,本文不代表CandyLake.com立场,且不构成建议,请谨慎对待。
猜你喜欢
- The United States is investigating the role of Meta Platforms in the illegal sale of drugs
- The United States is reportedly investigating the role of Meta in illegal drug sales
- The era of generic weight loss drugs is approaching, and the first batch of patents for GLP drugs have expired, leading to a fierce competition among competitors
- Baidu ShenDou: Traditional cloud computing is no longer the protagonist, intelligent computing calls for a new generation of "operating systems"
- 323 drugs in the US are urgently needed due to the "drug shortage" raid!
- The milestone of eVTOL concept! US start-up airline has officially placed an order for 20 aircraft
- European drug regulatory agency recommends approval of Dupixen for the treatment of patients with chronic obstructive pulmonary disease
- Eisai/Bojian Alzheimer's disease drug rejected by the European Union, and Eli Lilly monoclonal antibody may be affected
- AstraZeneca's market value has surpassed £ 200 billion for the first time! The bold bet on anti-cancer drugs is yielding results
- Bristol Myers Squibb's original tumor treatment drug Abraxane has been officially launched in China
-
过去一周的时间里,有关苹果微信“二选一”的话题持续霸占各个平台热搜,甚至有媒体还在微博发起了“如果苹果微信二选一,你选择iPhone还是微信?”的投票,当然结果是微信取得了压倒性的胜利。 从最新的 ...
- lub_pig
- 昨天 17:05
- 支持
- 反对
- 回复
- 收藏
-
今日,特斯拉AI团队发布产品路线图,其中,预计2025年第一季度在中国和欧洲推出完全自动驾驶(FSD),但仍有待监管批准。 自2016年以来,马斯克一直在探索特斯拉的FSD自动驾驶方案。2024年,特斯拉FSD V12 ...
- seisei
- 前天 16:32
- 支持
- 反对
- 回复
- 收藏
-
【全球市场】1、道指跌0.54%,纳指涨0.25%,标普跌0.30%。2、特斯拉涨近5%,亚马逊涨超2%。3、纳斯达克中国金龙指数涨0.88%,蔚来涨超14%。
- wishii
- 昨天 22:03
- 支持
- 反对
- 回复
- 收藏
-
【ASML CEO回应对华出口限制:会有更多应对措施】当地时间9月4日,荷兰计算机芯片设备供应商ASML首席执行官Christophe Fouquet在花旗银行的一场会议上表示,美国限制ASML对华出口是出于“经济动机”。他预计该公司应 ...
- mbgg2797
- 前天 09:15
- 支持
- 反对
- 回复
- 收藏