Drug discovery still too often relies on expensive trial and error. Researchers from ICTER show there is another way—building ...

Ligand-based drug design combines AI and QSAR modeling to prioritize drug candidates, minimizing preclinical failures and ...

Understanding drug resistance is crucial. Quantum modeling offers insights into molecular interactions, enhancing drug ...

A team of chemists has unveiled a novel method to simplify the synthesis of piperidines, a key structural component in many pharmaceuticals. The study combines biocatalytic carbon-hydrogen oxidation ...

In the search for new drugs, artificial intelligence in the form of diffusion models is being used in drug design. What ...

Researchers at the Institute of Science Tokyo have developed a simple and efficient method for synthesizing ...

This allows scientists to build drug molecules step-by-step and directly observe their binding to targets at atomic resolution. Similar to how UCLA’s SEE-CITE method maps binding sites with precision, ...

Disease modeling and target identification are critical and time-consuming portions of the drug discovery process and areas where artificial intelligence (AI) is already making a substantial impact. A ...

LANCASTER, Calif.--(BUSINESS WIRE)--Simulations Plus, Inc. (Nasdaq: SLP) (“Simulations Plus”), a leading provider of biosimulation, simulation-enabled performance and intelligence solutions, and ...