Will DeepMind's open-source biomolecule prediction model win the Nobel Prize and ignite a wave of AI pharmaceuticals?
六月清晨搅
发表于 前天 18:11
118
0
0
Recently, DeepMind, an artificial intelligence company under Google, opened sourced its Nobel Prize winning drug development AI model AlphaFold 3. This means that from now on, researchers from various fields of biomedicine can download the model code for free and run the model themselves to carry out drug development work.
Public information shows that the Google AlphaFold model can be used to predict protein structure and interactions. The latest version of the model, AlphaFold 3, not only has the ability to predict proteins, but also has the ability to predict the structures and interactions of almost all biomolecules such as DNA, RNA, and small molecules, directly promoting drug discovery and disease treatment.
DeepMind CEO Demis Hasabis commented that AlphaFold 3 is an important milestone. 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 in this direction
Generally speaking, developing drugs through conventional experimental methods takes several years and incurs extremely high costs, but AlphaFold 3 can significantly accelerate this process. It can quickly screen potential drug targets, predict the structure of target proteins, and discover and search for their medicinal pockets.
It is worth mentioning that when AlphaFold 3 was released in May this year, it was widely controversial due to the lack of open underlying code. Scientists believe that this move undermines the reproducibility of research and development. So DeepMind immediately changed its policy and promised to release an open-source version of this AI model within six months. At present, obtaining this model requires filling out a form for application, and once approved by DeepMind, the application rights can be obtained.
AI pharmaceuticals are poised to take off
It cannot be denied that artificial intelligence systems represented by AlphaFold have made significant breakthroughs in the field of life sciences, promoting the application of AI in drug development. At the same time, IT giants see biotechnology as the next frontier for AI applications: last year Salesforce launched the protein generation model ProGen, and earlier Microsoft also released an open-source model EvoDiff similar to AlphaFold.
Focusing on the domestic market, the layout around AI drug development models is also hot. For example, in May this year, the Baidu PaddlePaddle PaddleHelix team developed the HelixFold Multimedia model, which is said to be the industry leader in predicting the structure of antigen antibody/polypeptide protein complex; In recent years, Huawei has also constantly updated Pangu's drug molecular model and combined with the Chinese Academy of Sciences Shanghai Institute of Materia Medica to enable the full process of AI drug design.
According to a research report by Huachuang Securities, AI has shown great potential in the drug discovery stage. AI technology, especially machine learning and deep learning algorithms, can quickly analyze and process large amounts of biomedical data, identify potential candidate compounds, predict their effects and side effects, thereby significantly reducing the time required for drug discovery. According to Nvidia, the use of AI technology can shorten the time required for drug discovery to one-third of the original, and save costs to 1/200.
According to Precedence Research, the Al pharmaceutical industry is expected to maintain rapid growth over the next decade, with a market size of $1.17 billion by 2023 and projected to exceed $11.8 billion by 2032. The CAGR from 2023 to 2032 is projected to reach 29.3%.
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
- Ford CEO tired of making 'boring' car models, personalized and electrified products become 'new favorites'
- Dialogue | Baidu Li Tao: The overlap between automotive intelligence and the wave of big models is a historical inevitability
- Boeing announces 10% layoffs, first delivery of 777X model postponed to 2026
- Faraday Future plans to launch the first model of its second brand by the end of next year
- Will a third brand launch hybrid models overseas? NIO responds: Continuing the pure electric technology route
- He Xiaopeng: Xiaopeng's car end large model aims to achieve a 100 kilometer takeover once next year
- Faraday Future: Second brand FX plans to launch two models with a price not exceeding $50000
- Robin Lee: The average daily adjustment amount of Wenxin Model exceeded 1.5 billion, 30 times more than that of a year ago
- "AI new generation" big model manufacturer Qi "roll" agent, Robin Lee said that it will usher in an era of "making money by thinking"
- Robin Lee said that the illusion of the big model has basically eliminated the actual measurement of ERNIE Bot?
-
本报讯 (记者李豪悦)11月12日,腾讯音乐娱乐集团(以下简称“腾讯音乐”)宣布其截至2024年9月30日止第三季度的未经审计财务业绩。 2024年第三季度,腾讯音乐娱乐集团业绩表现稳健,总收入为70.2亿元,同 ...
- 覃志辉
- 前天 20:07
- 支持
- 反对
- 回复
- 收藏
-
新华财经上海11月13日电芯片制造商英伟达和软银集团的电信部门软银公司周三表示,两家公司已经试运行了全球首个人工智能和5G电信网络。 两家公司表示,该网络可以同时运行人工智能和5G工作负载,这一过程被 ...
- 惡魔獵人
- 昨天 12:36
- 支持
- 反对
- 回复
- 收藏
-
美股三大指数集体收跌,道指跌0.86%,标普500指数跌0.29%,纳指跌0.09%。大型科技股多数上涨,英伟达涨超2%,奈飞、微软、亚马逊涨超1%,谷歌、Meta小幅上涨;苹果平收,特斯拉跌超6%,英特尔跌超3%。安进收跌超 ...
- lbbz1314
- 昨天 09:59
- 支持
- 反对
- 回复
- 收藏
-
波音公司当地时间11月11日表示,该公司负责商用飞机品质的高级副总裁伊丽莎白·伦德(Elizabeth Lund)将于12月退休。伦德在波音公司工作了33年,在1月5日阿拉斯加航空公司一架新的737 MAX 9飞机在空中舱门脱落 ...
- charles1121
- 前天 13:15
- 支持
- 反对
- 回复
- 收藏