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Researchers Use Machine Learning to Model Proteins Linked to Cancer

LLNL Scientists Use Sierra Supercomputer to Develop Cancer Model

Multiscale model reveals the importance of lipids to the signaling dynamics of RAS proteins

Lawrence Livermore National Laboratory researchers and a multi-institutional team of scientists have developed a highly detailed, machine learning-backed multiscale model revealing the importance of lipids to the signaling dynamics of RAS, a family of proteins whose mutations are linked to numerous cancers.

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