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Chemical Switch Engineered into a Light-Driven Proton Pump

Synthetic biology is an emerging and rapidly evolving engineering discipline. Within the NCCR Molecular Systems Engineering, Scientists from Bernese have developed a version of the light-driven proton pump proteorhodopsin, which is chemically switchable and it is also an essential tool to efficiently power synthetic cells and molecular factories.

Synthetic biology is a highly complex field with numerous knowledge branches that incorporate physics, biology, and chemistry into engineering. It aims to design synthetic cells and molecular factories with innovative functions or properties that can be applied in medical and biological research or healthcare, industry research.

These artificial systems are available in the nanometer scale and are developed by assembling and combining current, synthetic or engineered building blocks (e.g., proteins). Molecular systems are applicable for a wide range of applications, for instance these systems can be used for waste disposal, medical treatment or diagnosis, energy supply and chemical compound synthesis.

New way to model molecules

Magine a future in which hyper-efficient solar panels provide renewable sources of energy, improved water filters quickly remove toxins from drinking water, and the air is scrubbed clean of pollution and greenhouse gases. That could become a reality with the right molecules and materials.

Scientists from Harvard and Google have taken a major step toward making the search for those molecules easier, demonstrating for the first time that a quantum computer could be used to model the electron interactions in a complex molecule. The work is described in a new paper published in the journal Physical Review X by Professor Alán Aspuru-Guzik from the Department of Chemistry and Chemical Biology and several co-authors.

“There are a number of applications that a quantum computer would be useful for: cryptography, machine learning, and certain number-theory problems,” Aspuru-Guzik said. “But one that has always been mentioned, even from the first conceptions of a quantum computer, was to use it to simulate matter. In this case, we use it to simulate chemistry.”

The Next Five Years will be a Critical Time for the Development of Rejuvenation Biotechnology after the SENS Model of Damage Repair

Tempus fugit. I’m just about old enough to remember a time in which 2020 was the distant future of science fiction novels, too far away to be thinking about in concrete terms, a foreign and fantastical land in which anything might happen. Several anythings did in fact happen, such as the internet, and the ongoing revolution in biotechnology that has transformed the laboratory world but leaks into clinics only all too slowly. Here we are, however, close enough to be making plans and figuring out what we expect to be doing when the third decade of the 21st century gets underway. The fantastical becomes the mundane. We don’t yet have regeneration of organs and limbs, or therapies to greatly extend life, but for these and many other staples of golden age science fiction, the scientific community has come close enough to be able to talk in detail about the roads to achieving these goals.

Of all the things that researchers might achieve with biotechnology in the near future, control over aging is by far the most important. Aging is the greatest cause of death and suffering in the world, and none of us are getting any younger. That may change, however. SENS, the Strategies for Engineered Negligible Senescence, is a synthesis of the scientific view of aging as an accumulation of specific forms of cell and tissue damage, pulling in a century of evidence from many diverse areas of medical science to support this conclusion. Aging happens because the normal operation of our cellular biochemistry produces damage, wear and tear at the level of molecules and molecular structures, and some of that damage accumulates to cause failure of tissues and organs, and ultimately death.

Lab 2.0: Will Computers Replace Experimental Science?

We spend our lives surrounded by hi-tech materials and chemicals that make our batteries, solar cells and mobile phones work. But developing new technologies requires time-consuming, expensive and even dangerous experiments.

Luckily we now have a secret weapon that allows us to save time, money and risk by avoiding some of these experiments: computers.

Thanks to Moore’s law and a number of developments in physics, chemistry, computer science and mathematics over the past 50 years (leading to Nobel Prizes in Chemistry in 1998 and 2013) we can now carry out many experiments entirely on computers using modelling.

Welcome to Lab 2.0 Where Computers Replace Experimental Science

We spend our lives surrounded by high-tech materials and chemicals that make our batteries, solar cells and mobile phones work. But developing new technologies requires time-consuming, expensive and even dangerous experiments.

Luckily we now have a secret weapon that allows us to save time, money and risk by avoiding some of these experiments: computers.

Thanks to Moore’s law and a number of developments in physics, chemistry, computer science and mathematics over the past 50 years (leading to Nobel Prizes in chemistry in 1998 and 2013) we can now carry out many experiments entirely on computers using modeling.

Quantum dot photosensitizers as a new paradigm for photochemical activation

Interesting work on solar energy and Q-dot photosensitizers.


Interfacial triplet-triplet energy transfer is used to significantly extend the exciton lifetime of cadmium selenide nanocrystals in an experimental demonstration of their molecular-like photochemistry.

Photosensitizers are an essential component of solar energy conversion processes, in which they are used to generate the highly reactive excited states that enable energy conversion (e.g., photochemical upconversion).1, 2 Typically, molecular triplet photosensitizers are used for such applications, but to improve the solar energy conversion process, the identification and preparation of next-generation triplet photosensitizers is required. However, the design of such photosensitizers—suitable for solar energy conversion and photocatalytic applications—remains a challenge.3

Quantum computers show potential to revolutionize chemistry

Like this feature on QC.


If you have trouble wrapping your mind around quantum physics, don’t worry — it’s even hard for supercomputers. The solution, according to researchers from Google, Harvard, Lawrence Berkeley National Laboratories and others? Why, use a quantum computer, of course. The team accurately predicted chemical reaction rates using a supercooled quantum circuit, a result that could lead to improved solar cells, batteries, flexible electronics and much more.

Chemical reactions are inherently quantum themselves — the team actually used a quote from Richard Feynman saying “nature isn’t classical, dammit.” The problem is that “molecular systems form highly entangled quantum superposition states, which require many classical computing resources in order to represent sufficiently high precision,” according to the Google Research blog. Computing the lowest energy state for propane, a relatively simple molecule, takes around ten days, for instance. That figure is required in order to get the reaction rate.

That’s where the “Xmon” supercooled qubit quantum computing circuit (shown above) comes in. The device, known as a “variational quantum eigensolver (VQE)” is the quantum equivalent of a classic neural network. The difference is that you train a classical neural circuit (like Google’s DeepMind AI) to model classical data, and train the VQE to model quantum data. “The quantum advantage of VQE is that quantum bits can efficiently represent the molecular wave function, whereas exponentially many classical bits would be required.”

Profusa to Showcase Tissue-integrated Sensors for Long-term Continuous Monitoring of Body Chemistry at the Pioneers Festival in Vienna

Lumee™ tissue-O2 monitoring system slated to be available this year in Europe

SOUTH SAN FRANCISCO, Calif., May 16, 2016 — Profusa, Inc. announced today that it was selected by Pioneers, the global business relationship builder, to showcase the company’s “wear-and-forget” Lumee™ biosensor technology at the Pioneers Festival held at the prestigious Hofburg Imperial Palace in Vienna, Austria, May 24th-25th.

Making health and disease monitoring as easy as turning on your smart phone, the company’s tissue-integrated sensors for long-term, continuous tracking of body chemistry will be highlighted by Ben Hwang, Profusa’s chairman and chief executive officer, in a talk entitled, “Beyond Fitness Trackers: Let Your Body Speak.”

‘Smart’ thread collects diagnostic data when sutured into tissue

Way cool! Your stitches monitors and reports your progress to your doctor/s.

BTW — In 1999, I told a guy from Diamond Intl. that the thread in our clothing would be able to do this in the next 15 to 20 years. He laughed at me; never say never.


For the first time, researchers led by Tufts University engineers have integrated nano-scale sensors, electronics and microfluidics into threads — ranging from simple cotton to sophisticated synthetics — that can be sutured through multiple layers of tissue to gather diagnostic data wirelessly in real time, according to a paper published online July 18 in Microsystems & Nanoengineering. The research suggests that the thread-based diagnostic platform could be an effective substrate for a new generation of implantable diagnostic devices and smart wearable systems.

The researchers used a variety of conductive threads that were dipped in physical and chemical sensing compounds and connected to wireless electronic circuitry to create a flexible platform that they sutured into tissue in rats as well as in vitro. The threads collected data on tissue health (e.g. pressure, stress, strain and temperature), pH and glucose levels that can be used to determine such things as how a wound is healing, whether infection is emerging, or whether the body’s chemistry is out of balance. The results were transmitted wirelessly to a cell phone and computer.

The three-dimensional platform is able to conform to complex structures such as organs, wounds or orthopedic implants.