A direct comparison of the biological datasets revealed a significant trend: the set of tyrosine phosphosites known to be dysregulated in cancer contained a significantly larger fraction of strongly destabilizing sites than the set of all known human phosphosites.
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A structural machine learning approach for rapid prediction of thermodynamically destabilizing tyrosine phosphorylations.
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