DESY built machine learning produces unprecedented insights into how biomolecules work

A new analytical technique can provide hitherto unattainable insights into the extremely rapid dynamics of biomolecules. The team of developers, led by Abbas Ourmazd from the University of Wisconsin–Milwaukee and Robin Santra from DESY in Germany, is presenting its clever combination of quantum physics and molecular biology. The scientists used the technique to track how the photoactive yellow protein (PYP) undergoes changes in its structure in less than a trillionth of a second after being excited by light. Illustration of a quantum wave packet in close vicinity of a conical intersection between two potential energy surfaces. The wave packet represents the collective motion of multiple atoms in the photoactive yellow protein. A part of the wave packet moves through the intersection from one potential energy surface to the other, while the another part remains on the top surface, leading to a superposition of quantum states.  CREDIT DESY, Niels Breckwoldt

“In order to precisely understand biochemical processes in nature, such as photosynthesis in certain bacteria, it is important to know the detailed sequence of events,” Santra explains their underlying motivation. “When light strikes photoactive proteins, their spatial structure is altered, and this structural change determines what role a protein takes on in nature.” Until now, however, it has been almost impossible to track the exact sequence in which structural changes occur. Only the initial and final states of a molecule before and after a reaction can be determined and interpreted in theoretical terms. “But we don’t know exactly how the energy and shape changes in between the two,” says Santra. “It’s like seeing that someone has folded their hands, but you can’t see them interlacing their fingers to do so.”

Whereas a hand is large enough and the movement is slow enough for us to follow it with our eyes, things are not that easy when looking at molecules. The energy state of a molecule can be determined with great precision using spectroscopy, and bright X-rays for example from an X-ray laser can be used to analyze the shape of a molecule. The extremely short wavelength of X-rays means that they can resolve very small spatial structures, such as the positions of the atoms within a molecule. However, the result is not an image like a photograph, but instead a characteristic interference pattern, which can be used to deduce the spatial structure that created it.

Bright and short X-ray flashes

Since the movements are extremely rapid at the molecular level, scientists have to use extremely short X-ray pulses to prevent the image from being blurred. It was only with the advent of X-ray lasers that it became possible to produce sufficiently bright and short X-ray pulses to capture these dynamics. However, since molecular dynamics takes place in the realm of quantum physics where the laws of physics deviate from our everyday experience, the measurements can only be interpreted with the help of a quantum-physical analysis.

A peculiar feature of photoactive proteins needs to be taken into consideration: the incident light excites their electron shell to enter a higher quantum state, and this causes an initial change in the shape of the molecule. This change in shape can in turn result in the excited and ground quantum states overlapping each other. In the resulting quantum jump, the excited state reverts to the ground state, whereby the shape of the molecule initially remains unchanged. The conical intersection between the quantum states, therefore, opens a pathway to a new spatial structure of the protein in the quantum mechanical ground state.

The team led by Santra and Ourmazd has now succeeded for the first time in unraveling the structural dynamics of a photoactive protein at such a conical intersection. They did so by drawing on machine learning because a full description of the dynamics would require every possible movement of all the particles involved to be considered. This quickly leads to unmanageable equations that cannot be solved.

6000 dimensions

“The photoactive yellow protein we studied consists of some 2000 atoms,” explains Santra, who is a Lead Scientist at DESY and a professor of physics at Universität Hamburg. “Since every atom is basically free to move in all three spatial dimensions, there are a total of 6000 options for movement. That leads to a quantum mechanical equation with 6000 dimensions – which even the most powerful computers today are unable to solve.”

However, supercomputer analyses based on machine learning were able to identify patterns in the collective movement of the atoms in the complex molecule. “It’s like when a hand moves: there, too, we don’t look at each atom individually, but at their collective movement,” explains Santra. Unlike a hand, where the possibilities for collective movement are obvious, these options are not as easy to identify in the atoms of a molecule. However, using this technique, the supercomputer was able to reduce the approximately 6000 dimensions to four. By demonstrating this new method, Santra’s team was also able to characterize a conical intersection of quantum states in a complex molecule made up of thousands of atoms for the first time.

The detailed calculation shows how this conical intersection forms in four-dimensional space and how the photoactive yellow protein drops through it back to its initial state after being excited by light. The scientists can now describe this process in steps of a few dozen femtoseconds (quadrillionths of a second) and thus advance the understanding of photoactive processes. “As a result, quantum physics is providing new insights into a biological system, and biology is providing new ideas for quantum mechanical methodology,” says Santra, who is also a member of the Hamburg Cluster of Excellence “CUI: Advanced Imaging of Matter”. “The two fields are cross-fertilizing each other in the process.”

Black & Veatch helps data centers increase efficiency, transition to high density

Black & Veatch and Future Facilities will work together to offer assessments, analysis, and modeling as the financial industry seeks to modernize data center infrastructure

As the digital revolution redefines the definition of infrastructure, data centers are increasingly transitioning to high-performance computing with higher rack density to meet the demand for high-speed, reliable supercomputing. Recognizing this, Black & Veatch and Future Facilities are working together to offer a suite of services including data center assessments, analysis, and upgrades to maximize the efficiency and longevity of existing data center infrastructure.

This collaboration with Future Facilities, a software company specializing in 3D digital twin technology using Computational Fluid Dynamics (CFD), allows Black & Veatch to offer its data center design, modernization, and sustainability expertise to financial institutions, enabling them to make informed, cost-effective decisions as they transition data centers from low- to high-density racks. High-density rack data centers allow for the ultra-speed, data-intensive computing necessary in today’s fast-moving economy.

“From commerce to communication, as the world continues to strengthen its reliance on digitization, it is imperative that any company utilizing data has the right tools in place to chart the best path forward to maximize the lifespan, efficiency, and capabilities of their data centers,” said Robert Schmidt, director of client innovation at Future Facilities. “Through our collaboration with Black & Veatch, we are happy to offer these tools to financial institutions, as they continue to develop their digital transformation strategies.”

Datacenter assessments provide insight into a building system’s performance, identifying potential risks and barriers to efficiency that may be related to aging facility equipment, single points of failure, IT equipment spacing, capacity, and more.

“Future Facilities’ digital twin technologies are optimal for assessing and providing strategies to institutions using data centers for information processing,” said Gary Cudmore, Black & Veatch’s global director of data centers. “With Future Facilities software, Black & Veatch is able to pair our expertise in data center design and assessment with sophisticated CFD analysis and modeling to deliver a comprehensive service to any company looking to optimize their data centers.”

Black & Veatch’s study, Data Center Solutions: Helping Financial Enterprises Maximize Performance, highlights an example of the challenges many existing data center operators face as the needs of their clients outpace facility capacity. Initially, the client considered migrating their IT assets to a colocation provider, as power availability seemed to limit a transition to high-density racks in their on-prem facility. Black & Veatch assessed the client’s data centers and found the potential to extend the existing assets for several more years, delaying the need for migrating to a colocation facility. This kept the company online, bought time for long-term digital planning, and staved off a multi-million-dollar upgrade. Future Facilities’ data center modeling software determined the best operating scenario for optimization of space and assets. Pairing these complimentary services of assessment and modeling will benefit any institution struggling with data center optimization or transition.

Tel Aviv University prof identifies the proteins in the coronavirus that can damage blood vessels

Nearly two years since becoming a global pandemic that has killed millions of people, the mystery of which proteins in the SARS-CoV-2 virus are responsible for severe vascular damage that could even lead to heart attack or stroke has not yet been solved. Now, for the first time, a team of experts led by Tel Aviv University, Israel has been able to identify 5 of the 29 proteins that make up the virus that is responsible for damaging blood vessels. The researchers hope that the identification of these proteins will help develop targeted drugs for COVID-19 that reduce vascular damage. Covid in blood vessel.

The study was led by Dr. Ben Maoz of the Department of Biomedical Engineering and Sagol School of Neuroscience, Prof. Uri Ashery of the Wise Faculty of Life Sciences and Sagol School of Neuroscience, and Prof. Roded Sharan of the Blavatnik School of Computer Science – all Tel Aviv University researchers. Also participating in the study were Dr. Rossana Rauti, Dr. Yael Bardoogo, and doctoral student Meishar Shahoah of Tel Aviv University, and Prof. Yaakov Nahmias of the Institute of Life Sciences at the Hebrew University. The results of the new study were published in the journal eLife.

“We see a very high incidence of vascular disease and blood clotting, for example, stroke and heart attack, among COVID patients,” says Dr. Ben Maoz. “We tend to think of COVID as primarily a respiratory disease, but the truth is that coronavirus patients are up to three times more likely to have a stroke or heart attack. All the evidence shows that the virus severely damages the blood vessels or the endothelial cells that line the blood vessels. However, to this day the virus has been treated as one entity. We wanted to find out which proteins in the virus are responsible for this type of damage.”

The novel coronavirus is a relatively simple virus – it comprises a total of 29 different proteins (compared to the tens of thousands of proteins produced by the human body). The Tel Aviv University researchers used the RNA of each of the COVID-19 proteins and examined the reaction that occurred when the various RNA sequences were inserted into human blood vessel cells in the lab; they were thereby able to identify five coronavirus proteins that damage the blood vessels.

“When the coronavirus enters the body, it begins to produce 29 proteins, a new virus is formed, that virus produces 29 new proteins, and so on,” explains Dr. Maoz. “In this process, our blood vessels turn from opaque tubes into kind of permeable nets or pieces of cloth, and in parallel, there is an increase in blood clotting. We thoroughly examined the effect of each of the 29 proteins expressed by the virus and were successful in identifying the five specific proteins that cause the greatest damage to endothelial cells and hence to vascular stability and function. In addition, we used a computational model developed by Prof. Sharan which allowed us to assess and identify which coronavirus proteins have the greatest effect on other tissues, without having seen them in action in the lab.”

According to Dr. Maoz, the identification of these proteins may have significant consequences in the fight against the virus. “Our research could help find targets for a drug that will be used to stop the virus’s activity, or at least minimize damage to blood vessels.”