With the advent of widespread tumor genetic profiling, an increased number of mutations with unknown significance are being identified. Often, a glut of uninterpretable findings may confuse the clinician and provide little or inappropriate guidance in therapeutic decision-making. This report describes a method of protein modeling by in silico analysis (ie, using computer simulation) that is easily accessible to the practicing clinician without need for further laboratory analysis, which can potentially serve as a guide in therapeutic decisions based on poorly characterized tumor mutations.
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