A study from Cornell researchers could enable a quantum leap forward in identifying and deciphering cancer-driving genetic mutations, the first step in developing effective therapeutics. Cells become ...

In an effort to reveal the inner workings of a protein that serves as a cell's damage detection system, scientists at Johns Hopkins and the Ludwig-Maximilians-University Munich (LMU) have published ...

WEST LAFAYETTE, Ind. – Proteins are often called the working molecules of the human body. A typical body has more than 20,000 different types of proteins, each of which are involved in many functions ...

Google spent much of the past year hustling to build its Gemini chatbot to counter ChatGPT, pitching it as a multifunctional AI assistant that can help with work tasks or the digital chores of ...

DAVIS, Calif.--(BUSINESS WIRE)--OpenFold, a non-profit artificial intelligence (AI) research consortium, today announced the release of two new tools: 1) SoloSeq, which integrates a new protein Large ...

In the rapidly advancing field of computational biology, a newly peer-reviewed review explores the transformative role of deep learning techniques in revolutionizing protein structure prediction. The ...

The “ChatGPT moment” for biology proceeds to unfold as protein language models, or machine learning tools trained on large databases of protein sequences, work to decode the language of life with the ...

The impact of protein structure prediction reached a new level of recognition with the 2024 Nobel Prize in Chemistry, awarded for pioneering work that expanded on technologies like AlphaFold.

Cells in humans and all vertebrates are tightly packed together to form organs and glands — tissues essential for living, breathing and moving. “In humans, three families of membrane proteins in ...

The traditional approach of using 3D protein structure prediction is computationally expensive and often impractical for large-scale screening. The complexity of biological systems, combined with the ...