Penn Engineering and Stanford researchers leveraged AI to discover dozens of potential new antibiotics in the human gut microbiome. (ChrisChrisW via Getty Images)
The average human gut contains roughly 100 trillion microbes, many of which are constantly competing for limited resources. “It’s such a harsh environment,” says César de la Fuente, Presidential Assistant Professor in Bioengineering and in Chemical and Biomolecular Engineering within the School of Engineering and Applied Science, in Psychiatry and Microbiology within the Perelman School of Medicine, and in Chemistry within the School of Arts & Sciences. “You have all these bacteria coexisting, but also fighting each other. Such an environment may foster innovation.”
In that conflict, de la Fuente’s lab sees potential for new antibiotics, which may one day contribute to humanity’s own defensive stockpile against drug-resistant bacteria. After all, if the bacteria in the human gut have to develop new tools in the fight against one another to survive, why not use their own weapons against them?
In a new paper in Cell, the labs of de la Fuente and Ami S. Bhatt, Professor in Medicine (Hematology) and Genetics at Stanford, surveyed the gut microbiomes of nearly 2,000 people, discovering dozens of potential new antibiotics. “We think of biology as an information source,” says de la Fuente. “Everything is just code. And if we can come up with algorithms that can sort through that code, we can dramatically accelerate antibiotic discovery.”
Biomaterials 3D-printed with the new method can be used inside the body and could even serve as bandages on a beating human heart. (Photo by Casey A. Cass/University of Colorado)
In the quest to develop life-like materials to replace and repair human body parts, scientists face a formidable challenge: Real tissues are often both strong and stretchable and vary in shape and size.
A CU Boulder-led team, in collaboration with researchers at the University of Pennsylvania, has taken a critical step toward cracking that code. They’ve developed a new way to 3D print material that is at once elastic enough to withstand a heart’s persistent beating, tough enough to endure the crushing load placed on joints, and easily shapeable to fit a patient’s unique defects.
Their breakthrough, described in the Aug. 2 edition of the journal Science, helps pave the way toward a new generation of biomaterials, from internal bandages that deliver drugs directly to the heart to cartilage patches and needle-free sutures.
“This is a simple 3D processing method that people could ultimately use in their own academic labs as well as in industry to improve the mechanical properties of materials for a wide variety of applications,” says first author Abhishek Dhand, a researcher in the Burdick Lab and doctoral candidate in the Department of Bioengineering at the University of Pennsylvania. “It solves a big problem for 3D printing.”
Jason Burdick is Bowman Endowed Professor in Chemical and Biological Engineering at the University of Colorado Boulder and Adjunct Professor in Bioengineering at Penn Engineering.
Sherry (Xue) Gao, Presidental Penn Compact Associate Professor in Chemical and Biomolecular Engineering and in Bioengineering
Sherry (Xue) Gao, Presidential Penn Compact Associate Professor in Chemical and Biomolecular Engineering (CBE), always knew she had a future in the lab. “I grew up in China, and when I was little, maybe six or seven,” she recalls, “my teacher asked me, ‘What do you want to be when you grow up?’ I said, ‘I want to be a scientist!’”
Neither of her parents had studied beyond high school; when Gao finished her training as a chemical engineer, she became the first person in her family to graduate from college. “One of my greatest motivations is to help first-generation college students,” Gao says.
Now, as the newest faculty member in CBE, Gao is prepared to do just that: support the next generation of chemical engineers, while also conducting groundbreaking research in the development of small molecules to edit genes, pushing the boundaries of precision medicine.
The Presidential Penn Compact Professorships were created by former Penn President Amy Gutmann specifically to recruit and support faculty like Gao: transformative leaders working at the intersection of multiple fields with “a yen for collaboration,” as Gutmann told the Penn Gazette in 2021.
Gao joins Penn Engineering from Rice University, where she collected numerous accolades, including the 2024 BMES-CMBE Rising Star Award, a 2022 NSF CAREER Award, the 2022 Outstanding Young Faculty at Rice School of Engineering Award and the 2020 NIH MIRA R35 Award.
As a member of the Center for Precision Engineering for Health (CPE4H), Gao will partner with colleagues from across the School to develop technologies that bridge disciplines, all in the interest of advancing health care. “We are very excited to have Sherry as a new member of the Center,” says Daniel Hammer, Alfred G. and Meta A. Ennis Professor and inaugural Director of CPE4H. “Gene editing is an important new tool that can precisely alter cell behavior by deleting or redirecting cell pathways, as well as enhancing and suppressing gene expression. She will have significant interactions with other members of the Center, such as Mike Mitchell and myself, as well as the broader Penn community, especially with the CAR therapists.”
Neurological disorders such as epilepsy, Alzheimers, Parkinson’s and certain forms of dementia are the leading cause of disability and second-leading cause of disease worldwide. These disorders disproportionately affect low-resourced communities due to lack of access to specialized healthcare, and many of these complex diseases lack curative solutions. The need to address neurological disorders is high, yet current diagnostics and treatments are not effective for preventative or personalized care and are not accessible or affordable enough to meet the needs of more than 3 billion people living with neurological disorders.
Flavia Vitale, Associate Professor in Bioengineering in Penn Engineering and in Neurology in Penn Medicine, works to meet this need, developing accessible and affordable solutions for the diagnosis, treatment and rehabilitation of people with neurological disorders.
“I started my research career in biomedical engineering hoping to one day help humanity,” says Vitale, who is also a 2024 recipient of a National Science Foundation (NSF) CAREER Award for her work. “But it wasn’t until I gained a more diverse skill set during my doctoral and postdoctoral research across chemical engineering and materials science that I was able to do that in a real way.”
Vitale’s multidisciplinary skills are what allow her to develop devices that help people living with brain disorders. The CAREER Award is now helping her further apply those skills and actualize some of her first long-term research projects at Penn.
“This CAREER Award will support my lab’s current research in leveraging innovation in materials and fabrication approaches to develop devices that are able to interface with and control different chemical and electrical signals inside the brain,” she says.
Focused primarily on understanding the brain activity involved in epilepsy-induced seizures, Vitale aims to design and develop brain-interface devices to pinpoint and suppress uncontrolled brain activity to prevent seizures from happening. Her work will lead to revolutionary health care for the 30% of epilepsy patients whose conditions are drug resistant. Currently those patients either wait out the uncontrolled brain activity and oftentimes life-threatening convulsions, or hope to be eligible for invasive surgeries to remove the part of the brain where seizures originate or to implant the seizure-controlling devices that are currently available.
Cesar de la Fuente (left), Fangping Wan (center), and Marcelo der Torossian Torres (right). Fangping holds a 3D model of a unique ATP synthase fragment, identified by their lab’s deep learning model, APEX, as having potent antibiotic properties.
“Make sure you finish your antibiotics course, even if you start feeling better’ is a medical mantra many hear but ignore,” says Cesar de la Fuente of the University of Pennsylvania.
He explains that this phrase is, however, crucial as noncompliance could hamper the efficacy of a key 20th century discovery, antibiotics. “And in recent decades, this has led to the rise of drug-resistant bacteria, a growing global health crisis causing approximately 4.95 million deaths per year and threatens to make even common infections deadly,” he says.
De la Fuente, a Presidential Assistant Professor, and a team of interdisciplinary researchers have been working on biomedical innovations tackling this looming threat. In a new study, published in Nature Biomedical Engineering, they developed an artificial intelligence tool to mine the vast and largely unexplored biological data—more than 10 million molecules of both modern and extinct organisms— to discover new candidates for antibiotics.
“With traditional methods, it takes around six years to develop new preclinical drug candidates to treat infections and the process is incredibly painstaking and expensive,” de la Fuente says. “Our deep learning approach can dramatically reduce that time, driving down costs as we identified thousands of candidates in just a few hours, and many of them have preclinical potential, as tested in our animal models, signaling a new era in antibiotic discovery.” César de la Fuente holds a 3D model of a unique ATP synthase fragment, identified by his lab’s deep learning model, APEX, as having potent antibiotic properties. This molecular structure, resurrected from ancient genetic data, represents a promising lead in the fight against antibiotic-resistant bacteria.
These latest findings build on methods de la Fuente has been working on since his arrival at Penn in 2019. The team asked a fundamental question: Can machines be used to accelerate antibiotic discovery by mining the world’s biological information? He explains that this idea is based on the notion that biology, at its most basic level, is an information source, which could theoretically be explored with AI to find new useful molecules.
Almost a century ago, the discovery of antibiotics like penicillin revolutionized medicine by harnessing the natural bacteria-killing abilities of microbes. Today, a new study co-led by researchers at the Perelman School of Medicine at the University of Pennsylvania suggests that natural-product antibiotic discovery is about to accelerate into a new era, powered by artificial intelligence (AI).
The study, published in Cell, the researchers used a form of AI called machine learning to search for antibiotics in a vast dataset containing the recorded genomes of tens of thousands of bacteria and other primitive organisms. This unprecedented effort yielded nearly one million potential antibiotic compounds, with dozens showing promising activity in initial tests against disease-causing bacteria.
“AI in antibiotic discovery is now a reality and has significantly accelerated our ability to discover new candidate drugs. What once took years can now be achieved in hours using computers” said study co-senior author César de la Fuente, PhD, a Presidential Assistant Professor in Psychiatry, Microbiology, Chemistry, Chemical and Biomolecular Engineering, and Bioengineering.
Nature has always been a good place to look for new medicines, especially antibiotics. Bacteria, ubiquitous on our planet, have evolved numerous antibacterial defenses, often in the form of short proteins (“peptides”) that can disrupt bacterial cell membranes and other critical structures. While the discovery of penicillin and other natural-product-derived antibiotics revolutionized medicine, the growing threat of antibiotic resistance has underscored the urgent need for new antimicrobial compounds.
In recent years, de la Fuente and colleagues have pioneered AI-powered searches for antimicrobials. They have identified preclinical candidates in the genomes of contemporary humans, extinct Neanderthals and Denisovans, woolly mammoths, and hundreds of other organisms. One of the lab’s primary goals is to mine the world’s biological information for useful molecules, including antibiotics.
Susan Davidson, Cesar de la Fuente, Surbhi Goel and Chris Callison-Burch speak on AI in Engineering in episode 4 of the Innovation & Impact podcast.
With AI technologies finding their way into every industry, important questions must be considered by the research community: How can deep learning help identify new drugs? How can large language models disseminate information? Where and how are researchers using AI in their own work? And, how are humans anticipating and defending against potential harmful consequences of this powerful technology?
In this episode of Innovation & Impact, host Susan Davidson, Weiss Professor in Computer and Information Science (CIS), speaks with three Penn Engineering experts about leveraging AI to advance scientific discovery and methods to protect its users. Panelists include:
Chris Callison-Burch, Associate Professor in CIS, who researches the applications of large language models and AI tools in current and future real-world problems with a keen eye towards safety and ethical use of AI;
Surbhi Goel, Magerman Term Assistant Professor in CIS, who works at the intersection of theoretical computer science and machine learning. Her focus on developing theoretical foundations for modern machine learning paradigms expands the possibilities of deep learning; and
Cesar de la Fuente, Presidential Assistant Professor in Bioengineering, Psychiatry and Microbiology with a secondary appointment in Chemical and Biomolecular Engineering, who leads research on technology in the medical field, using computers to find antibiotics in extinct organisms and identify pre-clinical candidates to advance drug discovery.
Each episode of Penn Engineering’s Innovation & Impact podcast shares insight from leading experts at Penn and Penn Engineering on science, technology and medicine.
Kathleen J. Stebe and Michel Koo urge “the academic community to adopt a coordinated approach uniting dental medicine and engineering to support research, training and entrepreneurship to address unmet needs and spur oral health care innovations.” (Image: Min Jun Oh and Seokyoung Yoon)
Penn’s Center for Innovation & Precision Dentistry (CiPD) is the first cross-disciplinary initiative in the nation to unite oral-craniofacial health sciences and engineering.
In just two years since CiPD was founded, the outcomes of this newly conceived research partnership have proven its value: microrobots that clean teeth for people with limited mobility, a completely new understanding of bacterial physics in tooth decay, enzymes from plant chloroplasts that degrade plaque, promising futures for lipid nanoparticles in oral cancer treatment and new techniques and materials to restore nerves in facial reconstructive surgery.
In addition, CiPD is training the next generation of dentists, scientists and engineers through an NIH/NIDCR-sponsored postdoctoral training program as well as fellowships from industry.
The center’s Founding Co-Directors, Kathleen J. Stebe, Richer & Elizabeth Goodwin Professor in Chemical and Biomolecular Engineering, and Michel Koo, Professor of Orthodontics in Penn Dental Medicine, published an editorial in the Journal of Dental Research, planting a flag for CiPD’s mission and encouraging others to mirror its method.
The two urge “the academic community to adopt a coordinated approach uniting dental medicine and engineering to support research, training and entrepreneurship to address unmet needs and spur oral health care innovations.”
On September 14, Wexford Science & Technology, LLC and the University of Pennsylvania announced that the University has signed a lease for new laboratory space that will usher in a wave of novel vaccine, therapeutics, and engineered diagnostics research to West Philadelphia. Research teams from Penn are poised to move into 115,000 square feet of space at One uCity Square, the 13-story, 400,000 square foot purpose-built lab and office building within the vibrant uCity Square Knowledge Community being developed by Wexford. This is the largest lease in the building, encompassing four floors, and bringing the building to over 90% leased. The building currently includes industry tenants Century Therapeutics (NASDAQ: IPSC), Integral Molecular, Exponent (NASDAQ: EXPO), and Charles River Laboratories (NYSE: CRL).
The new University space will house Penn Medicine’s Institute for RNA Innovation and Penn Engineering’s Center for Precision Engineering for Health, underscoring the University’s commitment to a multi-disciplinary and collaborative approach to research that will attract and retain the best talent and engage partners from across the region. Penn’s decision to locate at One uCity Square reinforces uCity Square’s evolution as a central cluster of academic, clinical, commercial, entrepreneurial, and amenity spaces for the area’s innovation ecosystem, and further cements Philadelphia’s position as a top life sciences market.
Jonathan Epstein, MD, Executive Vice Dean and Chief Scientific Officer of Penn Medicine, shared his anticipation for the opportunities that lie ahead: “Penn Medicine is proud to build on its existing clinical presence in uCity Square and establish an innovative and collaborative research presence at the heart of uCity Square’s multidisciplinary innovation ecosystem. This strategic move underscores our commitment to accelerating advancements in biomedical research, industry collaboration, and equipping our talented teams with the resources they need to shape the future of healthcare.”
Locating the Penn Institute for RNA Innovation in the heart of the uCity Square community brings together researchers across disciplines who are already pursuing new vaccines and treatments, and better ways to deliver them. Their shared work will help to power the next phase of vaccine discovery and development.
Likewise, anchoring the work of Penn Engineering’s Center in the One uCity Square space will allow the School’s multi-disciplinary researchers and their collaborators to advance new clinical and diagnostic methods that will focus on intelligent therapeutics, genome design, diagnostics for discovery of human biology, and engineering the human immune shield.
“Penn Engineering has made a substantial commitment to precision engineering for health, an area that is not only important and relevant to engineering, but also critical to the future of humanity,” said Vijay Kumar, Nemirovsky Family Dean of Penn Engineering. “The space in One uCity Square will add another 30,000 square feet of space for our engineers to develop technologies that will fight future pandemics, cure incurable diseases, and extend healthy life spans around the world.”
Spearheading the Penn Institute for RNA Innovation will be Drew Weissman, MD, PhD, the Roberts Family Professor for Vaccine Research, who along with Katalin Karikó, PhD, adjunct professor of Neurosurgery, discovered foundational mRNA technology that enabled the creation of vital vaccine technology, including the FDA-approved mRNA-based COVID-19 vaccines developed by Pfizer-BioNTech and Moderna.
In this new space at One uCity Square, Weissman and his research team and collaborators will further pursue their groundbreaking research efforts with a goal to develop new therapeutics and vaccines and initiate clinical trials for other devastating diseases.
In addition, two established researchers will join the Institute at One uCity Square: Harvey Friedman, MD, a professor of Infectious Diseases, who leads a team researching various vaccines. He will be joined by Vladimir Muzykantov, MD, PhD, Founders Professor in Nanoparticle Research, who focuses on several projects related to targeting the delivery of drugs, including mRNA, to create more effective, targeted pathways to deliver drugs to the vascular system, treating a wide range of diseases that impact the brain, lung, heart, and blood.
Dan Hammer, Alfred G. and Meta A. Ennis Professor in the Departments of Bioengineering and Chemical and Biomolecular Engineering in Penn Engineering and Director of the Center for Precision Engineering for Health, will oversee the Center’s innovations in diagnostics and delivery, cellular and tissue engineering, and the development of new devices that integrate novel materials with human tissues. The Center will bring together scholars from all departments within Penn Engineering and will help to foster increased collaboration with campus colleagues at Penn’s Perelman School of Medicine and with industry partners.
Joining the Center researchers in One uCity Square are Noor Momin, Sherry Gao, and Michael Mitchell. Noor Momin, who will join Penn Engineering in early 2024 as an assistant professor in Bioengineering, will leverage her lab’s expertise in cardiovascular immunology, protein engineering and pharmacokinetic modeling to develop next-generation treatments and diagnostics for cardiovascular diseases.
Fat is a normal and necessary part of the body. Fat cells store and release energy, as well as play significant roles in hormonal regulation and immunity.
Engineers and scientists at the University of Pennsylvania are the first to discover fat-filled lipid droplets’ (pictured above in green) surprising capability to indent and puncture the nucleus, the organelle which contains and regulates a cell’s DNA.
In recent decades, a concerning rise in metabolic illnesses – such as cardiovascular disease, high blood pressure and diabetes – has focused scientific attention on the biology and chemistry of fat, resulting in a wealth of information about how fat cells work.
But fat cells and their metabolic activities are only part of the story.
Fat-filled lipid droplets, tiny spheres of fat many times smaller than fat cells, are a growing subject of scientific interest. Found inside many different cell types, these lipid particles have long been little understood. Studies have begun to illuminate these droplets’ participation in metabolic functions and cellular protection, but we still know next to nothing about the physical nature of fat.
Now, researchers at the University of Pennsylvania School of Engineering and Applied Science have looked beyond biochemistry to publish groundbreaking work on the physics of these droplets, revealing them to be a potential threat to a cell’s nucleus. In the August issue of the Journal of Cell Biology, they are the first to discover fat-filled lipid droplets’ surprising capability to indent and puncture the nucleus, the organelle which contains and regulates a cell’s DNA.
The stakes of their findings are high: a ruptured nucleus can lead to elevated DNA damage that is characteristic of many diseases, including cancer.
“Intuitively, people think of fat as soft,” says Discher. “And on a cellular level it is. But at this small size of droplet— measuring just a few microns rather than the hundreds of microns of a mature fat cell—it stops being soft. Its shape has a much higher curvature, bending other objects very sharply. This changes its physics in the cell. It can deform. It can damage. It can rupture.”
