High-accuracy protein complex structure modeling based on sequence-derived structure complementarity
In living organisms, proteins perform key functions required for life activities by interacting to form complexes. Determining the protein complex structure is crucial for understanding and mastering ...
DNA sequence features predict genome-wide binding pattern of key protein involved in brain disorders
Researchers from the University of Illinois at Urbana-Champaign and the University of California-Davis (UC Davis) are combining in vivo experimentation with computation for highly accurate prediction ...
Acquisition of conformational ensembles for a protein is a challenging task, which is actually involving to the solution for protein folding problem and the study of intrinsically disordered protein.
Proteins are the molecular workhorses of cells. To understand their functions, scientists soon realized that they had to figure out proteins’ shapes. But solving a protein structure is a challenging ...
In biology circles, Google’s AI research company DeepMind is best known for folding proteins. Its deep learning model AlphaFold, which predicts the structure of a protein from its sequence of amino ...
New research has uncovered more about the complexity of human gene regulation by identifying certain sequences of proteins called transcription factors that bind to DNA and regulate the expression of ...
A blue-and-gray 3D representation of a strand of DNA with other strands floating in the background. Google has officially released its AlphaGenome machine learning model, which can predict the ...
Katie covers the impact of health technology on patients, clinicians, and businesses. Her stories explore the price tag of clinical AI, digital health at the FDA, and the boom in direct-to-consumer ...
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