PepMLM generates binders to challenging therapeutic targets across cancer and neurological disease using protein sequence and no structure.

Georgetown Lombardi, Washington’s only National Cancer Institute-designated Comprehensive Cancer Center, serves as the research engine for MedStar Health, Georgetown University’s clinical partner. Georgetown Lombardi is also an NCI-recognized research consortium with John Theurer Cancer Center of Hackensack Meridian Health in Bergen County, New Jersey.
They have a blog with alot of useful cancer information you can share. There is info about them circulating about cancer vaccines and clinical trials. Check em out:
(You can repost their posts or contact them to recieve information from them directly. Lombardi Comprehensive Cancer Center 3,800 Reservoir Rd. NW Washington D.C. 20,057 Phone: 202−444−2223)
A study published in Nature Biotechnology reveals a powerful new use for artificial intelligence: designing small, drug-like molecules that can stick to and break down harmful proteins in the body — even when scientists don’t know what those proteins look like. The breakthrough could lead to new treatments for diseases that have long resisted traditional drug development, including certain cancers, brain disorders, and viral infections.
The study was published on August 13, 2025 by a multi-institutional team of researchers from McMaster University, Duke University, and Cornell University. The AI tool, called PepMLM, is based on an algorithm originally built to understand human language and used in chatbots, but was trained to understand the “language” of proteins.
In 2024, the Nobel Prize in Chemistry was awarded to researchers at Google DeepMind for developing AlphaFold, an AI system that predicts the 3D structure of proteins – a major advance in drug discovery. But many disease-related proteins, including those involved in cancer and neurodegeneration, don’t have stable structures. That’s where PepMLM takes a different approach – instead of relying on structure, the tool uses only the protein’s sequence to design peptide drugs. This makes it possible to target a much broader range of disease proteins, including those that were previously considered “undruggable.”
Exosomes, naturally derived vesicles responsible for intercellular communication, are emerging as next-generation drug delivery systems capable of transporting therapeutics to specific cells. However, their tightly packed, cholesterol-rich membranes make it extremely difficult to encapsulate large molecules such as mRNA or proteins.
Conventional approaches have relied on techniques like electroporation or chemical treatment, which often damage both the drugs and exosomes, reduce delivery efficiency, and require complex purification steps—all of which pose significant barriers to commercialization.
The team utilized a lipid-based nanoparticle known as a “cubosome,” which mimics the fusion structure of cell membranes and naturally fuses with exosomes. By mixing cubosomes carrying mRNA with exosomes at room temperature for just 10 minutes, the researchers achieved efficient fusion and confirmed that the mRNA was successfully loaded into the exosomes. Analysis showed that over 98% of the mRNA was encapsulated, while the structural integrity and biological function of the exosomes were preserved.
Furthermore, the engineered exosomes demonstrated the ability to cross the blood-brain barrier, one of the most difficult hurdles in drug delivery. Notably, the team observed a “homing” effect, where exosomes return to the type of cell they originated from, enabling targeted drug delivery to diseased tissues.
Cells use various signaling molecules to regulate the nervous, immune, and vascular systems. Among these, nitric oxide (NO) and ammonia (NH₃) play important roles, but their chemical instability and gaseous nature make them difficult to generate or control externally.
A KAIST research team has developed a platform that generates specific signaling molecules in situ from a single precursor under an applied electrical signal, enabling switch-like, precise spatiotemporal control of cellular responses. This approach could provide a foundation for future medical technologies such as electroceuticals, electrogenetics, and personalized cell therapies.
The research team led by Professor Jimin Park from the Department of Chemical and Biomolecular Engineering, in collaboration with Professor Jihan Kim’s group, has developed a bioelectrosynthesis platform capable of producing either nitric oxide or ammonia on demand using only an electrical signal. The platform allows control over the timing, spatial range, and duration of cell responses.
In a survey study of more than 1,000 U.S. adults who were in committed, heterosexual relationships during the first year of the COVID-19 pandemic, parents were more likely than non-parents to report an increased desire for infidelity since before the pandemic, and were also more likely to report having actually cheated on their partner during the pandemic.
Dr. Jessica T. Campbell of Indiana University Bloomington, U.S., and colleagues present these findings in the open-access journal PLOS One.
Prior research has suggested that COVID-19 pandemic conditions strained many romantic and sexual relationships. Other research suggests that high stress and relationship dissatisfaction may prompt some people to consider engaging in romantic or sexual infidelity.
If you’ve been to a routine eye exam at the optometrist’s office, chances are you’ve had to place your chin and forehead up close to a bioimaging device.
It’s known as optical coherence tomography (OCT), and it’s widely used in eye clinics around the world. OCT uses light waves to take high-resolution, cross-sectional images of the retina in a noninvasive manner. These images can be essential for diagnosing and monitoring eye conditions.
In any bioimaging—either retinal or in-vivo imaging that takes place inside the human body—devices must be quite small and compact to produce high-quality images. However, mechanical aspects of OCT devices, like spinning mirrors, can increase the chance of device failure.
Graphene is a two-dimensional material composed of a single layer of carbon atoms arranged in a hexagonal lattice. Its first discovery was so astonishing because, despite its atomic-scale thickness, graphene exhibits exceptional mechanical strength, approximately 200 times greater than steel.
It also has high electrical and thermal conductivity and a very high theoretical surface area of approximately 2,630 m2/g, which means it can easily be functionalized, broadening its scope.
These properties make graphene suitable for applications in quantum electronics, biomedicine, sustainable construction, and energy storage.
Graphene’s role in technology is expanding, offering solutions for energy storage, cancer therapy, and sustainable construction through innovative research.