We’re living through something extraordinary. Artificial intelligence isn’t just a futuristic concept anymore; it’s embedded ...

AlphaFold arrived as a technical moonshot that suddenly made protein structures feel like software rather than secrets of nature, and five years on it has rewired how laboratories plan experiments, ...

Scientists have just organized an enormous collection of predicted protein shapes into families, using artificial intelligence and a powerful new comparison method. Working from AlphaFold models ...

Artificial intelligence isn’t just changing how we search the web or generate images. It is reshaping how scientists approach one of biology’s oldest problems: the folding of proteins. Google DeepMind ...

As bispecifics, ADCs, protein degraders, and AI-designed mini-proteins move into the clinic, discovery teams face a new bottleneck: engineering and producing molecules whose complexity challenges ...

According to @GoogleDeepMind, AlphaFold 2 has revolutionized protein structure prediction over the past five years, transforming a long-standing scientific challenge into a standard AI-powered tool ...

(L) Senior co-corresponding author M. Madan Babu, PhD, FRS, St. Jude Senior Vice President of Data Science, Chief Data Scientist, Center of Excellence for Data-Driven Discovery director and Department ...

Genesis’ proprietary foundation model – Pearl – outperforms frontier models, including AlphaFold 3, on key benchmarks that predict utility in real-world drug discovery Pearl’s performance improved ...

This codebase implements a guided protein structure prediction pipeline that incorporates experimental data from three different structural biology modalities to improve AlphaFold3's prediction ...

Much has changed since Consumer Reports first tested protein powders and shakes. Over the past 15 years, Americans’ obsession with protein has transformed what had been a niche product into the ...