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Researchers at the Technical University of Munich (TUM) have developed the world’s first electric nanomotors made of DNA. The self-assembling structures can be activated by an electric charge to spin a ratcheting rotor arm.

The tiny motor was made using a technique called DNA origami. Like its namesake papercraft, the method involves intricately folding strands of DNA into three-dimensional shapes, with past examples including virus traps, immune-evading drug delivery systems, and even microscopic Van Gogh replicas. These structures are made by carefully selecting DNA sequences that will fold and attach to each other in certain ways, so researchers can add specific strands to a solution and let the DNA objects assemble themselves.

For the new study, the team used this process to make a molecular motor out of DNA for the first time. The motor consists of a rotor arm measuring up to 500 nanometers (nm) long, which is mounted on a base about 40 nm high that’s fixed to a glass plate. Wrapped around the tip of the base, just below the rotor, is a platform with several ratcheting obstacles built into its surface, which controls the direction that the rotor can spin.

Paxlovid is the leading oral medication for preventing severe cases of COVID-19 in high-risk individuals. However, symptoms returned in some patients after treatment was completed, prompting the Centers for Disease Control and Prevention (CDC) to issue a health advisory on this so-called “COVID-19 rebound.”

In a study published June 20, 2022 in Clinical Infectious Diseases, researchers at University of California San Diego School of Medicine evaluated one such patient and found their symptom relapse was not caused by the development of resistance to the drug or impaired immunity against the virus. Rather, the COVID-19 rebound appears to have been the result of insufficient exposure to the drug.

TEL AVIV, Israel — A one-time vaccine for HIV is a step closer to reality, according to a new study. A team in Israel used gene-editing technology to engineer type B white blood cells, which can trigger the immune system to fight the virus.

Dr. Adi Barzel of Tel Aviv University says this is one of the few times scientists have been able to engineer B cells outside of the human body. Their study finds that B white blood cells spark the immune system to produce more HIV-neutralizing antibodies. Currently, there is no cure for AIDS, which the HIV virus causes.

“Based on this study, we can expect that over the coming years we will be able to produce a medication for AIDS, additional infectious diseases and certain types of cancer caused by a virus, such as cervical cancer, head and neck cancer and more,” Dr. Barzel says in a university release.

A team of University of Kentucky researchers led by College of Engineering Professor Dibakar Bhattacharyya, Ph.D., and his Ph.D. student, Rollie Mills, have developed a medical face mask membrane that can capture and deactivate the SARS-CoV-2 spike protein on contact.

At the beginning of the COVID-19 pandemic in 2020, Bhattacharyya, known to friends and colleagues as “DB,” along with collaborators across disciplines at UK set out to create the material. Their work was published in Communications Materials on May 24.

SARS-CoV-2 is covered in spike proteins, which allow the virus to enter host cells once in the body. The team developed a membrane that includes that attach to the protein spikes and deactivates them.

Scientists have developed artificial intelligence software that can create proteins that may be useful as vaccines, cancer treatments, or even tools for pulling carbon pollution out of the air.

This research, reported today in the journal Science, was led by the University of Washington School of Medicine and Harvard University. The article is titled “Scaffolding functional sites using deep learning.”

“The proteins we find in nature are amazing molecules, but designed proteins can do so much more,” said senior author David Baker, an HHMI Investigator and professor of biochemistry at UW Medicine. “In this work, we show that machine learning can be used to design proteins with a wide variety of functions.”