Order from disordered proteins: Physics-based algorithm designs biomolecules with custom properties

In synthetic and structural biology, advances in artificial intelligence have led to an explosion of designing new proteins ...

SciSparc Resolves to Launch Innovative Quantum Computing-Enabled 3D Protein Modeling Initiative to Revolutionize AI Drug Discovery

SciSparc Ltd. (Nasdaq: SPRC) (the "Company" or "SciSparc"), a specialty clinical-stage pharmaceutical company focusing on the development of therapies to treat disorders of the central nervous system, ...

Apple researchers develop SimpleFold, a lightweight AI for protein folding prediction

Apple developed an alternative AI model to predict the 3D structure of proteins, and it shows promise. Here are the details.
Business Wire

OpenFold Biotech AI Research Consortium releases SoloSeq and Multimer, an integrated protein Large Language Model with 3D structure generation

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 ...
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Deep learning enhances accuracy and efficiency in protein structure prediction

This review provides an overview of traditional and modern methods for protein structure prediction and their characteristics and introduces the groundbreaking network features of the AlphaFold family ...

Who was G.N. Ramachandran? Scientist who made three world-changing discoveries but never received a Nobel or Padma award

Today marks the birth anniversary of G.N. Ramachandran, a brilliant Indian scientist whose work revolutionized protein ...
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Study reveals the 3D structure of a protein involved in genome editing

Gene editing is one of the latest breakthroughs in biology. The widely known CRISPR-Cas gene editing system provided prokaryotes (organisms that lack cell nuclei) an immunity against foreign DNA.
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AI-powered strategy streamlines protein engineering by integrating structural and evolutionary constraints

A team of researchers has developed a method that could transform the field of protein engineering. The new approach, called AI-informed Constraints for protein Engineering (AiCE), enables rapid and ...