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Researchers Use Machine Learning to Model Proteins Linked to Cancer

Lawrence Livermore National Laboratory (LLNL) researchers and a multi-institutional team of scientists have developed a machine learning-backed model showing the importance of lipids to the signaling dynamics of RAS, a
Helgi Ingolfsson Lawrence Livermore National Laboratory Department Of Energy Proceedings Of The National Academy Sciences National Cancer Institute Design Of Advanced Computing Solutions For Cancer

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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.
United States San Jose State University Lawrence Livermore National Laboratory San Francisco Brian Van Essen Fred Streitz

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