Last summer, DeepMind first began publicly releasing AlphaFold predictions through a database built in collaboration with the European Molecular Biology Laboratory (EMBL). This initial database includes 98 percent of all human proteins.

Now, the database is expanding to more than 200 million structures, “covering virtually every organism on the planet that has had its genome sequenced,” DeepMind said in a statement.

It can be thought of as covering the entire protein universe,” Demis Hassabis, DeepMind’s chief executive, said in a news release. We are now at the beginning of a new era of digital biology.”

The database is growing and includes over 200 million proteins

AlphaFold’s protein structures are already being used extensively by research teams around the world. They have been cited in studies such as malaria vaccine candidates and bee health. Pushmeet Kohli, DeepMind’s head of scientific artificial intelligence, said in a statement, “We believe AlphaFold is the most significant contribution AI has made to advancing scientific knowledge to date.”

Alphabet continues to build on the success of AlphaFold with the launch of a company called Isomorphic Labs, which will use artificial intelligence tools for drug discovery, and while it is housed separately from DeepMind, the two companies will collaborate. DeepMind has also set up a lab at the Francis Crick Institute, where where researchers can conduct experiments to test information from AI systems.

The ability to easily obtain predicted protein structures has given scientists a boost to their research efforts across the sciences – such as those trying to understand how complex processes work in the body, or which molecules can be used to target things like pollution. Eric Topol, founder and director of the Scripps Research Translational Institute, said in a statement, “With this new addition of structures illuminating nearly the entire protein universe, we can expect more biological mysteries to be solved every day.”

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The data shows that the means of monitoring employers are most interested in are recording workplace meetings (42%), time tracking (39%), real-time location tracking (39%) and screen monitoring (39%); while employees are most concerned about real-time location tracking (51%), screen monitoring (50%) and time tracking (47%).

Employee monitoring software has become a popular way for employers to keep an eye on their employees, and the metaverse will increase the likelihood of monitoring. Most employers say they are excited (66 percent) and optimistic (54 percent) about the future of working in a metaverse, while employees say they are anxious (24 percent), skeptical (20 percent) and confused (17 percent).

“Given the reluctance of many workers to accept further monitoring in the workplace, employers should exercise caution when planning to implement further monitoring activities in the meta-universe in the future and consider whether it is worth losing employee trust and satisfaction to do so.”

A total of 1,500 employees and 1,500 employers in the U.S. were surveyed to understand their perceptions of working in the metaverse.

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