high-throughput screening

Treating Parkinson’s Disease with Pinpoint Precision

Drug Candidate Could Slow Progression and Reduce Side Effects

dartboard with dart in the bullseye

If you know someone with Parkinson’s disease, you’re probably familiar with the progressive tremors and movement difficulties it causes. Unfortunately, the most common treatment for the disease — a drug called levodopa, or L-DOPA for short — can make some movement problems worse when taken for long periods of time. That’s why IRP senior investigator David R. Sibley, Ph.D., and postdoctoral fellow Amy Moritz, Ph.D., have taken on the challenge of discovering new drugs that could be given to patients in conjunction with existing treatments to more effectively slow the disease’s progression while reducing side effects.

A Computational Approach to Curbing Chemotherapy’s Side Effects

Study Identifies Compounds That Could Aid Body’s Removal of Toxic Cancer Drugs

computer binary code

When it comes to cancer, the treatment can sometimes feel worse than the disease. Not only do chemotherapy drugs cause grueling side effects, but certain products made by otherwise benign bacteria living in our digestive system can interfere with the body’s ability to get rid of those toxic chemicals. A new IRP study used a cutting-edge computational approach to help identify compounds that inhibit one of those meddling bacterial molecules, which could eventually lead to the creation of medications that reduce some of chemotherapy’s side effects.

IRP Pushes Forward in Fight Against Pandemic Virus

Many NIH Labs Remain Focused on COVID Research

SARS-CoV-2 virus particles

Since the early days of the COVID-19 pandemic, IRP researchers have been hard at work learning about the virus and developing ways to prevent and treat infections. That research remains as important as ever, particularly as the new Omicron variant of the virus continues to spread rapidly.

Fortunately, NIH’s Intramural Targeted Anti-COVID-19 Program (ITAC) has been providing IRP scientists with millions of dollars to support their research on the pandemic virus, known as SARS-CoV-2. Last week, the “I Am Intramural” blog discussed ITAC-funded efforts to learn about the biology of the virus and how it affects the body. This week, we’ll look at IRP projects focused on ways to track, treat, and prevent infections.

Old Drugs Find New Potential Against Hepatitis C

IRP Research Highlights a Novel Target to Stop Viral Infections

drug-screening robot

On July 28, health providers, researchers, patients, advocates, and governments across the globe observe World Hepatitis Day. Like this year’s theme, ‘Hepatitis Can’t Wait,’ IRP researchers are wasting no time utilizing the unique resources at the National Institutes of Health to identify innovative ways to combat the virus.

IRP Distinguished Investigator T. Jake Liang, M.D., for example, has focused his life’s work on understanding how hepatitis viruses infect, replicate, and persist in cells. The viruses he studies, hepatitis B and C, together affect more than 10 percent of the worlds’ population and are the most common causes of chronic liver disease and liver cancer. The two viruses were originally discovered in the 1980s by another IRP scientist, Harvey J. Alter, M.D., who shared the Nobel Prize in Medicine for that work in 2020. Nearly three decades later, Dr. Liang’s lab at the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) worked with scientists at the National Center for Advancing Translational Sciences (NCATS) to develop a novel test to screen thousands of molecules using a technology called high-throughput screening, which led to the discovery of several compounds with the potential to block hepatitis C infection.

Repurposed Drugs Could Curb Cancer Drug Resistance

robot used for high-throughput, automated drug screening

Much of the time, new therapies are built from the ground up, with researchers closely scrutinizing a specific molecule or cellular process and designing compounds that can influence it. In some cases, however, scientists take the opposite approach, throwing a multitude of therapeutic darts at the disease dartboard to see what sticks, and then working backwards to unravel why a drug was effective. IRP researchers recently used this method to identify potential treatments for drug-resistant ovarian cancer and determine how some of those tumors become impervious to a particular chemotherapy.