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Scientists from the University of Sheffield have found that genetic mutations in MRSA allow it to evolve and become more resistant to antibiotics such as penicillin.

By developing machine-learning models that can review protein information culled from genome databases, researchers found relatively simple design rules for building artificial proteins. When the team constructed these artificial proteins in the lab, they found that they performed chemical processes so well that they rivaled those found in nature.

Researchers have shown that inhibition of the soluble epoxide hydrolase enzyme (sEH) in murine models of Alzheimer's disease decreases the neuroinflammatory process, thereby improving the body’s endogenous response and reducing the deterioration and death of neurons that cause this type of dementia.

Using a combination of cell imaging experiments and mathematical modeling, a team of researchers has started to unravel the mechanisms behind tetraploidy – a chromosomal abnormality that is often found in malignant tumors.

In a test of antiviral effectiveness against SARS-CoV-2 (the virus that causes COVID-19) an extract from edible seaweeds outperformed remdesivir, the current standard antiviral used to combat the disease.

Researchers have analyzed one of the world’s largest collections of known drugs for their ability to block the replication of SARS-CoV-2, and reported 100 molecules with confirmed antiviral activity. Of these, 21 drugs were found to be effective at concentrations that could be safely administered to patients.

Study highlights dangers of COVID-19 spike after removal of health precautions.

The Link May Be a Hormone that Regulates Appetite and the Immune System.

A new study has examined how gene expression could be used to distinguish those patients with treatment-resistant depression from those who are responsive to medication.

A team has created a novel technology that combines high-throughput imaging and machine learning could accelerate the discovery of drugs to fight tuberculosis.