Started a new one newly established Google googelemind The scientist is stealthily and stealthy with $ 50 million.
Lastent Labits The AI Foundation models are planned to partner with biotech companies to produce and improve biotech technology companies.
This is impossible to understand what is happening to this in the world without understanding the Plays of the Plays that includes public biology. Proteins drive everything from all living cells and antibodies from antibodies from the enzymes and hormones. They are made up of about 20 different amino acids and are connected to the folded cables to create 3D structures.
But searching for the form of each protein is very slowly slow. It is a working process of intensive career. That was a big success A successful deep with alphatenA: Complete the search with real biological facts and real biological information to predict the shape of about 200 million days.
With such information, scientists are more likely to understand the disease. To better understand new drugs; Create a synthetic protein In a completely new use-events. It was fighting with the fighting with its goal to enable researchers to enable researchers “programmed programming molecules to” create program creation molecules to “create programming molecules” create programs. “
Floods
Simon Kohl (Picture above) started as a research scientist in Bladmind Alphafoll2 Team before leading protein design team Construction of the wet lab of Deepmind On Francis Crick Institute in London. In this time, deep deep was born to sister company In the form of isomorphic laboratoryDeepmind's AI research focuses on the use of Deepmind's AI research to change the drug discovery.
It is a combination of these developments that believe that it is near to focus on the exact focus of the protein design and accurate attention. Thus, by the end of 2022, Kohl sold the foundation for the foundation for Linent Labs and sold businesses in the middle of London in mid-2023.
“I believe in the effect that the biology and protein design, especially for biology and protein design,” I'm in an interesting time design. “At the same time, I see that with the launch of isomorphic labs at the same time. Programs based on Alphafold2They started many things at the same time. About protein design. The opportunity to focus on a laser focus on the laser-laser lights. Protein Design is such a wide range of fields.
As a result, the impact initiatives include about 15 employees. Today, the headcount of the latent is divided into two situations in the two sites in London, on the boundaries on the boundaries. Wet lab And computer protein design team.
“It needs to be tested in our real world, and we need to understand whether our models are making progress in the patterns we want.
Wet laboratories are highly in the near future to confirm the prediction of the technology of the technology of the software, but the last goal is to deny the need for wet laboratory.
“Our goal is to do biological programs. Biology needs to bring biology into biological field.
It promotes the drug discovery that depends on innumerable trials and the increasing drug discovery that can cause high-end benefits.
“It allows us to minimize our custom models without relying on wet lab.
Biological's economy
Energy laboratories do not view themselves 'centering'. Instead, it wants to work with third party partners and to harm the early R & D levels.
“As a company, we have our company biological, our biometrical, and biometric. Breds and life science science companies directly access their models.
The company's $ 50 million dollars were previously declared in the past three million dollars and the previous $ 40 million. Aaron RosenbergIt was the one who had previously been the head of the strategy and the head of operation.
The other participant investor is a green VC company. The other people around them around fish, fish, and fish. Isomer, 8VC,
A cashier, including the new machines, will go to pay.
“One calculation is a big cost for us. I think it's fair to reduce everything.
There are different types of startups and scales with stares and scales that are deeply deeper, and are looking to bring more closer to computers closer closer. Such as a cradle versus Bay. Kohl is a part of his part, and it seems that we remain at our early stage. We do not know what the best approach in decoding and designing biological systems.
There were some of the very interesting seeds with the examples from another group of other groups from the alphaten and other groups from other groups. “But in this field, the best model in this field is not met in this field, or I think it's really innovative.”