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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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