Infections caused by pathogenic microorganisms, including bacteria, viruses, fungi, and other eukaryotic microbes, seriously ...

GSK is paying $90 million upfront for rights to the drug, with another $503 million on the table if Brexafemme achieves regulatory and commercial objectives, as well as royalties of between 5% and ...

anti-obesity and anti-epileptic drugs. However, a crucial problem in CAI design is related to the high number of isoforms, their diffuse localization in many tissues and organs (Table 2), and the ...

A groundbreaking antibiotic discovery might finally tip the balance in the global fight against drug-resistant bacteria.

“That’s how well she understood the chemistry.” Together, Elion and Hitchings pioneered the use of rational drug design, and they were phenomenally successfully. Over a 20-year ...

Its deal with the US-based AI-driven drug design and development company will see Cloud design novel small-molecule agents to GSK-specified targets. Ed Addison, CEO of Cloud Pharmaceuticals ...

Beginning in the late 1980s, the federal government extended its anti-drug message to arcade games. “Winners Don’t Use Drugs” was a popular slogan that was hatched during a dinner between old friends, ...

We sell different types of products and services to both investment professionals and individual investors. These products and services are usually sold through license agreements or subscriptions ...

Here, the authors elucidate Nurr1’s activation by vidofludimus, revealing its allosteric binding site and developing a more potent Nurr1 agonist, advancing rational drug design. The molecular ...

Abstract: Mono-targeted drugs can be of limited efficacy against complex diseases. Recently, multi-target drug design has been approached as a promising tool to fight against these challenging ...

HIVE Digital Technologies is leading the charge in green Bitcoin mining and cutting-edge data centers for the Web3 era ...

QUBO problem formulation ensures efficiency. A Streamlit app for predicting drug-target binding affinity using a trained CNN model. Input SMILES strings and protein sequences for fast and accurate ...