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Category: chemistry

‘Bugs delivering drugs’: A new approach to colorectal cancer treatment using common food-borne bacteria

Baylor University researchers have developed a novel approach to fight colorectal cancer, using modified bacteria as a courier to deliver potent cancer-killing proteins into tumor cells. Michael S. VanNieuwenhze, Ph.D., FRSC, University Distinguished Professor and chair of the Department of Biology, along with Baylor doctoral students and a colleague at Texas Tech University Health Sciences Center, have published their research in Cell Chemical Biology.

Colorectal cancers accounted for the second-most deaths caused by cancer in 2025, according to the National Cancer Institute, highlighting the importance of new strategies for therapy and treatment.

Building on growth in the use of bacteria as a tool in fighting cancer, VanNieuwenhze and his team attached saporin, a known cancer-killing toxin, to the surface Listeria monocytogenes, which delivers the toxin to tumor cells. Listeria, commonly recognized as a food-borne bacteria, can be modified for express therapeutic purposes while maintaining its ability to penetrate human cells—making it, VanNieuwenhze said, a particularly promising agent in the fight against colorectal cancer.

The Singularity Needs a Navigator

In 2013, physicist Alex Wissner-Gross published a single equation for intelligence in [ITALIC] Physical Review Letters [/ITALIC]: # F = T∇Sτ

The force of an intelligent system equals its temperature — computational capacity, raw horsepower — multiplied by the gradient of its future option-space. Intelligence is not a mysterious property of carbon-based brains.

It is a physical force: the tendency of any sufficiently energetic system to maximize the number of future states accessible to it.

The equation was elegant. Correct. And incomplete.

It describes the force. It does not describe the geometry of the space through which that force navigates.

A gradient without a metric is a direction without distance — it tells the system where to push but not what distortion it will encounter on the way there.

We spent three years building the geometry. We tested it across 69 billion simulations. What we found changes everything. ## The Missing Geometry — From Force to Navigation.

Continue reading “The Singularity Needs a Navigator” | >

3 Questions: On the future of AI and the mathematical and physical sciences

Curiosity-driven research has long sparked technological transformations. A century ago, curiosity about atoms led to quantum mechanics, and eventually the transistor at the heart of modern computing. Conversely, the steam engine was a practical breakthrough, but it took fundamental research in thermodynamics to fully harness its power.

Today, artificial intelligence and science find themselves at a similar inflection point. The current AI revolution has been fueled by decades of research in the mathematical and physical sciences (MPS), which provided the challenging problems, datasets, and insights that made modern AI possible. The 2024 Nobel Prizes in physics and chemistry, recognizing foundational AI methods rooted in physics and AI applications for protein design, made this connection impossible to miss.

In 2025, MIT hosted a Workshop on the Future of AI+MPS, funded by the National Science Foundation with support from the MIT School of Science and the MIT departments of Physics, Chemistry, and Mathematics. The workshop brought together leading AI and science researchers to chart how the MPS domains can best capitalize on — and contribute to — the future of AI. Now a white paper, with recommendations for funding agencies, institutions, and researchers, has been published in Machine Learning: Science and Technology. In this interview, Jesse Thaler, MIT professor of physics and chair of the workshop, describes key themes and how MIT is positioning itself to lead in AI and science.

Autism’s Link to Parkinson’s Risk May Finally Be Explained

People with autism may be up to six times more likely to develop Parkinson’s disease in later life. New research offers a potential explanation based on the role of transporter molecules that recycle unused dopamine in the brain.

Dopamine is a neurotransmitter crucial for managing movement and executive functions, and for reinforcing behavior. It’s well known that Parkinson’s is characterized by a drop in dopamine levels, while disruptions in the transport of the chemical have also been linked to autism.

With that context, researchers led by a team from the University of Missouri in the US took a novel approach using a technology known as a DaT SPECT scan, which is typically used to diagnose Parkinson’s in much older people.

China succeeds in mimicking photosynthesis and transforming CO₂ and water into fuel: the experiment that could revolutionize the production of synthetic gasoline

Could future gasoline come from thin air and sunlight instead of oil wells? A team of Chinese scientists has unveiled a lab system that imitates plant photosynthesis to turn carbon dioxide and water into gasoline building blocks using only sunlight. Their work hints at a way to recycle a major greenhouse gas while still using existing engines and fuel infrastructure.

In an artificial photosynthesis study, the researchers report a “charge reservoir” material that stores solar energy as electrical charge, then delivers it on demand to drive reactions. The system converts carbon dioxide into carbon monoxide, a key building block for synthetic fuels, and uses water as its only electron source instead of extra helper chemicals.

Although still a lab device, the setup works under natural sunlight and is meant to connect renewable energy to industry and transport.

How an acid found in grapes could help recycle battery metals

Cobalt and nickel are vital components for batteries, superalloys and catalysts, used in technologies ranging from smartphones to jet engines. But when it comes to recycling, they are notoriously difficult to separate because they are chemically nearly identical. To solve this, a team led by scientists at Johns Hopkins University in the United States has developed a cleaner and cheaper way to extract these elements. And it is thanks in part to grapes.

Bacteria that generate electricity: How a shellfish-based gel could monitor wastewater and food

Microbial bioelectronic sensors use living bacteria that can create an electrical signal in response to the presence of a target substance, or analyte. These types of sensors offer many advantages over other types of biosensors based on proteins and enzymes: The bacteria can perform multiple functions, survive in a variety of environments and even grow and regenerate for potential long-term use.

However, building devices using living bacteria poses several challenges. The mediators some bacteria use to send and receive electrons, creating the electric signal, can be swept away from the sensor by liquid environments researchers would want to monitor, like wastewater. Some mediators are toxic to humans or the environment. Rice University researcher Rafael Verduzco developed a safe bioelectronic sensor that allows for effective electronic communication even in liquid environments. The study was recently published in the journal Advanced Materials.

“This system uses a naturally occurring polymer chitosan, which is found in the hard outer shells of crustaceans. In our system, the chitosan also acts kind of like a shell to keep the bacteria from escaping. It is also modified to have anchor points the mediators can attach to, which are critical to transport electrons,” said Verduzco, corresponding author on the paper and the A.J. Hartsook Professor of Chemical and Biomolecular Engineering. “This material provides a flexible way to encapsulate the bacteria and enhance electronic signals. Since it’s based on a low-cost and renewable polymer, we think it has great potential for real-world applications.”

Quantum computers must overcome major technical hurdles before tackling quantum chemistry problems

Although the potential applications of quantum computing are widespread, a new feasibility study suggests quantum computers still face major hurdles in solving quantum chemistry problems. The study, published in Physical Review B, evaluates what criteria are needed for a quantum advantage in searching for the ground state energy of molecules. The researchers attempt this feat using two different algorithms with differing strengths and weaknesses.

The team first determined the criteria for the variational quantum eigensolver (VQE) algorithm, which is used for noisy, near-term devices and sets an upper bound to the level of imprecision or decoherence in quantum hardware. The researchers derived quantitative criteria for VQE and QPE based on error rates, energy scales, and overlap with the ground state.

Results showed that VQE is extremely sensitive to hardware errors and decoherence. The team says that achieving chemical accuracy would require error rates far below current hardware capabilities. Available error mitigation techniques offer only limited improvement and scale poorly with system size.

From guesswork to guidance: How machine learning speeds dopant design for water-splitting photocatalysts

MLIP calculations successfully identify suitable dopants for a novel photocatalytic material, report researchers from the Institute of Science Tokyo. As demonstrated in their study, published in the Journal of the American Chemical Society, a materials informatics approach could predict which ions can be stably introduced into orthorhombic Sn3O4, a promising and recently discovered photocatalytic tin oxide.

Their experiments revealed that aluminum-doped samples achieved 16 times greater hydrogen production than the undoped material, paving the way for next-generation clean energy applications.

Building a sustainable hydrogen economy requires clean and efficient ways to produce hydrogen at scale. One particularly attractive approach is photocatalysis—using materials called photocatalysts to split water into hydrogen and oxygen utilizing sunlight.

Real-time protein quality control keeps cells healthy

Scientists from the National University of Singapore (NUS) have developed a biochemical technique that captures fleeting “handshakes” between newly made proteins and the cellular helpers. These short interactions are important because they can determine whether a protein turns out healthy and useful or is faulty and in need of removal. The research has been published in the journal Molecular Cell.

Cells produce vast numbers of proteins to sustain life. But building a protein is not only about assembling a chain of amino acids in the right order. As the protein chain is being produced, it must begin folding into the correct three-dimensional shape and avoid attaching to the wrong partners.

When folding goes wrong, misfolded proteins can become sticky, clump together, and disrupt cellular health. Cells reduce this risk by running “quality checks” even while proteins are still being made. However, identifying the key players in this early surveillance has been challenging because their interactions with newly forming protein chains are brief and easily missed.

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