Researchers headed by a team at the Centre for Genomic Regulation, Barcelona Institute of Science and Technology and at the Wellcome Sanger Institute have developed an AI tool that they say has made a ...

insights from industryJeff HawkinsCEOQuantum-SiIn this interview, NewsMedical speaks with Jeff Hawkins, CEO of Quantum-Si, about the challenges of conventional proteomic methods, as well as how ...

Proteins, the natural molecules that carry out key cellular functions within the body, are the building blocks of all diseases. Characterizing proteins can reveal the mechanisms of a disease, ...

Enhancing protein identification accuracy is vital for proteomics; this article explores key technologies and statistical methods involved.

Different DNA Structures Nucleate the Folding of Proteins to form specific complexes that modulate the readout of ...

This year’s Lasker Basic Medical Research Award recognizes the contributions of Demis Hassabis and John Jumper for their invention of the AlphaFold artificial intelligence (AI) system, which predicts ...

Machine learning (ML) and other AI- based computational tools have proven their prowess at predicting real-world protein structures. AlphaFold 2, an algorithm developed by scientists at DeepMind that ...

In 2000, Jonathan Rothberg’s stealth company, 454 Life Sciences, set out to change the next-gen sequencing industry, which was just getting started. Quantum-Si Incorporated (QSI), the restless ...

MIT researchers have built an AI language model that learns the internal coding patterns of a yeast species widely used to manufacture protein-based drugs, then rewrites gene sequences to push protein ...