University of California San Francisco
Give to UCSF
An international team of researchers studied the three lethal coronaviruses SARS-CoV-2, SARS-CoV-1 and MERS-CoV in order to identify commonly hijacked cellular pathways and detect promising targets for broad coronavirus inhibition.
Scientists have identified key chemical building blocks for an eventual antiviral drug against SARS-CoV-2, the virus that causes COVID-19.
UCSF scientists assembled an international research team that has figured out how SARS-CoV-2, the virus that causes COVID-19, hijacks proteins in host cells that serve as master regulators of key cellular processes.
An international team of more than 120 scientists has detailed the impact of 75 over-the-counter prescription and development-stage drug compounds on SARS-CoV-2, the virus that causes COVID-19.
Vigorously embracing their leadership roles, our faculty members are coming together to tackle this public health crisis from all angles.
Though many hopes are hanging on the development of a vaccine or drug that targets the novel coronavirus directly, a UCSF-led team is taking an unconventional approach: target the host – in other words, you.
The study also identified 12 other FDA-approved drugs that are deemed safe in pregnancy.
These results confirm that the HPV virus causes head and neck cancer by inactivating the same proteins that are mutated in smoking-induced cancer.
Researchers at UCSF and the Gladstone Institutes have received an $18 million grant from the National Institutes of Health to launch the Psychiatric Cell Map Initiative.
Researchers identified a protein that cancer cells use as a shield to protect the PI3K pathway against targeted drugs, and showed that blocking this protein allowed previously ineffective therapies to slow cancer cell growth and shrink tumors.
New study could make it much easier for physicians to use the genetic profile of a patient’s tumor to pick the chemotherapy treatment with the fewest side effects and best chance of success.
A research team led by scientists at UCSF has developed a computational method to systematically probe massive amounts of open-access data to discover new ways to use drugs.
In a major advance for fundamental biological research, UCSF scientists have developed a tool capable of illuminating previously inscrutable cellular signaling networks.
Researchers at UCSF and elsewhere are turning to virtual experiments for the initial steps of drug development.
UCSF researchers have used data-mining computational tools to identify a treatment for hepatocellular carcinoma, a cancer associated with underlying liver disease and cirrhosis that often only becomes symptomatic when it is very advanced.
