Drug discovery requires two separate steps: checking whether a drug can bind to a harmful molecule or its receptor, and ...

AI has fundamentally altered the feasibility of natural product discovery from fungal endophytes. Advances in genome ...

Membrane proteins are vital for cellular signaling, transport, and communication, making them attractive drug targets despite their challenging properties. Advances in mass spectrometry have enabled ...

There’s no doubt that large language models and generative AI tools have taken the world by storm. Their ability to create, ...

When pursuing a single drug candidate, chemists make many molecules. Pharmaceutical companies catalog and store these ...

Treeline Biosciences is stepping into the drug discovery scene with some pretty cool ideas. They’re not just looking at the usual suspects; they’re digging deep to find new ways to tackle diseases.

The wide range of chromatographic techniques share one common aim: to separate a material into its components. A material, your sample, is dissolved in a solvent, called the mobile phase. This mixture ...

The Computational Analysis of Novel Drug Opportunities (CANDO) platform is a computational approach to make drug discovery faster and less expensive while also being safe and effective. According to ...

The companies will invest up to $1 billion over five years to support discovery and development powered by artificial ...

Discover how Optibrium is transforming early-stage drug discovery through AI-powered software, generative chemistry, and 3D modelling. In this interview, Matt Segall, CEO at Optibrium, shares insights ...