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New insights into serine hydroxymethyltransferase aid cancer drug design

In just two neutron experiments, scientists discovered remarkable details about the function of an enzyme that can aid drug design for aggressive cancers. The scientists, working at the Department of Energy's Oak Ridge National Laboratory, used neutrons at the

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In just two neutron experiments, scientists discovered remarkable details about the function of an enzyme that can aid drug design for aggressive cancers.

The scientists, working at the Department of Energy's Oak Ridge National Laboratory, used neutrons at the Spallation Neutron Source and the High Flux Isotope Reactor to identify exact atomic-scale chemistry in serine hydroxymethyltransferase, or SHMT, a metabolic enzyme necessary for cell division.

Cancer hijacks chemical reactions in the metabolic pathway that involves SHMT and other critical enzymes and turns the entire process into a runaway train, rapidly reproducing cancer cells. Designing an inhibitor to block the enzyme's function, which falls early in the metabolic pathway, could derail cancer's attempts to overtake it. The Royal Society of Chemistry published the team's findings in Chemical Science.

"I think neutrons will be highly sought after in future structure-based drug design," said ORNL's Victoria Drago, the lead author and a biochemist working in collaboration with Andrey Kovalevsky, a distinguished R&D scientist at ORNL, who uses neutron diffraction to illuminate protein structures. "This paper is a good example of how quickly neutrons can produce information that has been the subject of debate for a very long time. Studies on SHMT function and its catalytic mechanism date back to the early 1980s."

The exact catalytic mechanism and the roles of various amino acid residues in the enzyme's active site have been debated for decades. In the current study, the researchers observed that just one amino acid residue, a glutamate, regulates chemical reactions for this enzyme.

The neutron data clearly show that the glutamate, which is an acid, has the proton on it. You might expect it to already have given up its proton. But because it's able to carry that proton around, it can transfer it back and forth. So, it acts as an acid and a base." Robert Phillips, co-author, professor of chemistry, University of Georgia

In a pathway known as one-carbon metabolism, this enzyme works inside a cell's mitochondria, or energy producer. It converts the amino acid serine into another amino acid called glycine by transferring a carbon atom to tetrahydrofolate, a reduced form of folic acid. This reaction produces building blocks for the synthesis of nucleic acids, such as DNA and RNA, and other biological molecules critical to cell division. The glutamate controls this process.

In a prior experiment, the team combined two techniques, neutron and X-ray crystallography at physiologically relevant room temperature, to understand SHMT and to map its protein structure before its interaction with tetrahydrofolate. In the current experiment, the researchers captured the enzyme at the next step, establishing certainty about how the enzyme's reaction mechanism actually works.

Painting the picture with neutrons

Neutrons see light elements, such as hydrogen, and X-rays see heavier elements, such as carbon, nitrogen and oxygen. Neutron diffraction at SNS and HFIR, in-house X-ray diffraction at ORNL and synchrotron X-ray diffraction at Argonne National Laboratory's Advanced Photon Source provided insights the team needed to definitively characterize the enzyme's chemical reaction.

"Neutrons allow us to see hydrogen atoms, and hydrogen drives chemistry," Drago said. "Enzymes are about 50% made up of hydrogen atoms. In terms of electrostatics, hydrogen also carries a positive charge, which dictates the environment of the enzyme. Once you have a crystal that will diffract neutrons, you have everything you need. You see the positions where hydrogens are located and, equally as important, the positions lacking hydrogens. You get the whole picture."

As shown in the animation, cancer cell mitochondria overproduce the SHMT enzyme, a tetramer constructed from four identical peptide chains, or protomers, shown in gray. SHMT functions by using pyridoxal-5′-phosphate, covalently bound to SHMT, and tetrahydrofolate, shown in gold and purple, respectively. Tetrahydrofolate acts as a substrate that binds to the active sites of all four protomers. The hydrogen atoms, shown flashing in green, revealed the exact catalytic mechanism and the roles of various amino acid residues in the enzyme's active sites. Once the enzyme releases tetrahydrofolate, an inhibitor, shown in blue, could be designed to block further chemical reactions at these sites, arresting the one-carbon metabolic pathway in cancer cells.

"The locations of the hydrogen atoms determine protonation states of specific chemical groups inside the enzyme's active sites," Kovalevsky said. "Thus, they provide information on the electric charge distribution, or electrostatics. This knowledge is crucial to designing small-molecule inhibitors that would bind to SHMT, replacing tetrahydrofolate and halting the enzyme function."

Cells contain thousands of enzymes functioning as catalysts that speed up biochemical reactions needed for bodily functions - from breathing to producing hormones to nerve function. Enzymes also provide a place to tuck chemicals that target specific processes. Other enzymes in the one-carbon metabolic pathway are already well-known targets for cancer drugs such as methotrexate and fluorouracil. However, SHMT comes earlier in this pathway, presenting an opportunity to stop cancer earlier.

But the difficulties with treating cancer relate in part to its stealthy attacks on metabolic processes. Unlike drug resistance in infectious diseases, if one path does not work well, cancer recalibrates other metabolic processes to overproduce cancer cells.

"Now that we know the atomic details for SHMT, we can inform the design of an inhibitor to target this specific protein as part of a combination therapy," Kovalevsky said. "If you compare it to treating infectious diseases, this is much more difficult because in cancer chemotherapy, you usually target your own proteins, which is why patients experience side effects. In infectious diseases, the proteins you target belong to the viruses or the bacteria. But with cancer, you have to kill your own cells. The idea here is to kill the cancer sooner and have less of an effect on the patient."

Speeding the pace of discovery

The team used neutrons at the MaNDi instrument at SNS and the IMAGINE instrument at HFIR for its research. ORNL's recent Proton Power Upgrade project added stronger beams for all the instruments at SNS. Stronger proton beams mean more neutrons. More neutrons mean shorter data collection times with smaller samples, speeding answers that help the scientists design smarter drugs to treat diseases.

"Discovery research is absolutely essential," said William Nelson, director of the Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins. "We're moving ever closer to the space where, with the help of AI, we will be able to sequence a gene in somebody's cancer, predict what the protein structure would look like and make a drug to tuck in; it will work great, and we'll do it in an hour and a half. But we're not there yet. So, the more we know about the actual protein structure, chemical structure and the way things interact, the better we're going to be able train AI models to predict things we don't know right away."

Nelson was not an author of either ORNL-led study. As director of the Sidney Kimmel Comprehensive Cancer Center and professor at the Johns Hopkins School of Medicine, he teaches urology, medicine, pathology, and radiation oncology and molecular radiation sciences.

SNS and HFIR are DOE Office of Science user facilities at ORNL.

Drago, V. N., et al. (2024). Universality of critical active site glutamate as an acid–base catalyst in serine hydroxymethyltransferase function. Chemical Science. doi.org/10.1039/d4sc03187c.

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Related questions

01How important is it to pick the right target in drug discovery? Could artificial intelligence (AI) be used to aid this process?

Picking the right target is absolutely fundamental. I mentioned that over half of failures of new medicines in development are due to us picking the wrong target. Even if we just doubled our success rate at picking the right target, it would have a huge impact on the development of new medicines for people. One of the reasons, and why I think artificial intelligence could be really important in helping us do that, is that, quite often, there may be some data buried in the literature that tells us a target is really good. Equally valuable is the fact that there may be something buried in the literature that tells you a target is not good. It's much harder to publish negative data than positive data. That target invalidation can be just as valuable as a target validation. It's really about being able to tap into all that knowledge and look up all the facts. That would mean that our systems and other people's AI systems can really be much more effective at picking the right target.

Source: www.news-medical.net ↗
02How will this discovery change cancer science?

This is a win for the field. Until now, we have been focused on immune therapies that might make tumors more vulnerable to the body's immune system, and on finding new chemotherapy combinations that kill cancer cells. This new treatment has given us a new focus, and I think it will spur a lot of scientific discovery over the next few years. There have only been a handful of KRAS researchers and their relevance to therapy was always questioned. That is about to change. The most important next step for the field is to better understand the biology of cancer. We know that many pancreatic tumors will eventually become resistant to daraxonrasib, and we need to understand how this happens. We also need to identify additional genetic pathways and treatments that can target them. That's how we will turn pancreas cancer from a deadly, deadly cancer into something we can manage-and one day, even cure.

Source: www.news-medical.net ↗
03In practical drug discovery and safety projects, where do graph-based models outperform traditional quantitative structure-activity relationship (QSAR) approaches, and where do conventional methods still offer advantages?

For molecular design, classical machine learning with traditional fingerprints is not going to generate accurate 3D structures in the way modern graph-based, diffusion, and foundation models can. Where we have large, high-quality datasets, graph neural networks, language models, and foundation models can also outperform classical methods for property prediction. We even see some attempts at generating very large and widely applicable QSAR models, although bespoke models for specific target chemistries and properties remain the main form of QSAR model in use today. However, classical machine learning models are still very useful, especially for small datasets, which are common in early discovery. Classical machine learning models often have fewer parameters and can generalize better in small chemical spaces than larger deep learning models, which may overfit in such spaces. Classical models are also often much faster to train and perform inference with using modest compute infrastructure, such as a laptop. They can also be easier to interpret because many descriptors have a chemical or physical rationale. I do not think classical machine learning belongs in the past. The method pool is broader now, and the researcher's or engineer’s understanding of the data and desired outputs should guide the modeling decision.

Source: www.news-medical.net ↗
04What supplements really work?

The bulk of vitamins and supplements containing fish oil, biotin, and vitamins A, C, and E can potentially promote nail and hair growth. You can find dietary supplements with higher concentrations of vitamins and minerals that aid skin, hair, and nail health. Fish oil supplements make nails and hair shiny. Fish oil also serves as an agent that can decrease signs of aging. If sun exposure damages the skin, the omega-3 fatty acids in fish oil can help. Biotin, also known as B7, increases hair density and strengthens it. It is found naturally in bananas, eggs, and milk. Vitamins are vital for skin health as well. Vitamin A reduces acne flairs and helps with changes due to aging like wrinkling. A vitamin A deficiency may increase the risk of acne because it becomes difficult for dead skin to slough off hair follicles, blocking pores. Vitamin B lowers the risk of precancerous growths and nonmelanoma skin cancer. Vitamin C is an antioxidant. It leads the fight against free radicals to help stimulate collagen and brighten skin. It also helps to prevent the formation of unneeded melanin that causes uneven skin pigmentation.

Source: www.medicinenet.com ↗
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More specifically, the study showed that the female patient produced very few cathelicidins, which is a natural toxin found in the immune cells of the lungs needed to fight tuberculosis. In most people infected by tuberculosis, tuberculosis bacteria attack the immune cells of the lungs. The immune cells fight the bacteria by eating them. But the tuberculosis bacterium has developed various evasive mechanisms that reduce the immune cells’ ability to digest and thus to kill the Mtb. “You could say that the tuberculosis bacterium has developed a way to lull the immune cells to sleep. This enables the disease the hide inside the immune cells, making it invisible to other parts of the immune system,” Martin Kongsbak-Wismann explains. This is where vitamin D enters the picture. Because vitamin D is able to counteract the soporific effect of the tuberculosis bacteria by making the immune cells produce more of the cathelicidin toxin. “Cathelicidin is like a microscopic needle that is able to pierce the tuberculosis bacteria. And when it does, it weakens the bacteria’s soporific effect on the immune cells. This restores the immune cells’ ability to kill tuberculosis bacteria,” says Martin Kongsbak-Wismann and adds: “We were amazed by the effect of vitamin D. In immune cells from healthy control subjects, vitamin D improved the cells’ ability to fight Mtb, whereas in the female patient’s immune cells we saw no response to vitamin D. This shows that vitamin D is key to the immune system’s ability to fight Mtb and prevent tuberculosis.” Al-Jaberi, F.A.H., et al. (2022) Reduced vitamin D-induced cathelicidin production and killing of Mycobacterium tuberculosis in macrophages from a patient with a non-functional vitamin D receptor: A case report. Frontiers in Immunology. doi.org/10.3389/fimmu.2022.1038960.

Source: www.news-medical.net ↗
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