With their ability to treat a wide a variety of diseases, spherical nucleic acids (SNAs) are poised to revolutionize medicine. But before these digitally designed nanostructures can reach their full potential, researchers need to optimize their various components.
Researchers at the Medical University of South Carolina discovered a new mechanism for a class of anti-cancer drugs known as E1 inhibitors. Their findings, published in Nature Communications on Dec. 4, 2018, reveal a novel binding site that will promote drug design of more efficient E1 inhibitors.
UCLA researchers and collaborators at eight other research institutions have created an extremely light, very durable ceramic aerogel. The material could be used for applications like insulating spacecraft because it can withstand the intense heat and severe temperature changes that space missions endure.
High cholesterol has been found to be a possible risk factor for the development of motor neurone disease (MND), according to a large study of genetic data led in the UK by Queen Mary University of London, in collaboration with the National Institutes of Health in the USA.
The study of natural toxins and their derivatives may help in the development of medicines to treat diseases like cancer and osteoarthritis, says coordinator of the Center of Excellence in New Target Discovery.
New therapeutic molecules developed at Toronto's Centre for Addiction and Mental Health (CAMH) show promise in reversing the memory loss linked to depression and aging. These molecules not only rapidly improve symptoms, but remarkably, also appear to renew the underlying brain impairments causing memory loss in preclinical models.
The results of a recent Texas A&M University-led study provide insights into the mechanism by which estrogen can decrease insulin resistance and the production of glucose, reducing incidences of Type 2 diabetes mellitus.
Researchers at University of Utah Health detailed the function of cone snail insulins, bringing them one step closer to developing a faster-acting insulin to treat diabetes.
Researchers have designed a machine learning algorithm for drug discovery which has been shown to be twice as efficient as the industry standard, which could accelerate the process of developing new treatments for disease.
A new one-step method discovered by synthetic organic chemists at Rice University allows nitrogen atoms to be added to precursor compounds used in the design and manufacture of drugs, pesticides, fertilizers and other products.