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New framework leverages 3D protein structures for systems-level analysis of cancer mutations
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 ...
UNIVERISTY PARK, Pa. — The tumor suppressor protein p53, known as "the guardian of the genome," protects the body’s DNA from daily stress or long-term damage by triggering the cells to make repairs or ...
Proteins often function in pairs or groups, concealing their internal connection points and making it difficult for scientists to study their individual units without altering their natural structure.
Artificial intelligence (AI) is transforming how scientists understand proteins—these are working molecules that drive nearly every process in the human body, from cell growth and immune defense to ...
Announcing a new publication for Acta Materia Medica journal. Proteins are essential macromolecules that perform functions according to their conformational dynamics. Studying the conformational ...
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 ...
Researchers found that paired pathogenic variants can restore protein function rather than make it worse. This phenomenon ...
Researchers recently published findings that could lay the groundwork for applying quantum computing methods to protein structure prediction. Researchers from Cleveland Clinic and IBM recently ...
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 ...
The success of ChatGPT and its competitors is based on what’s termed emergent behaviors. These systems, called large language models (LLMs), weren’t trained to output natural-sounding language (or ...
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