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  • title: Representation of missense variants for predicting modes of action
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            Representation of missense variants for predicting modes of action
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            Representation of missense variants for predicting modes of action

            Dec 2, 2022

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            Guojie Zhong

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            Yufeng Shen

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            Accurate prediction of functional impact for missense variants is fundamental for genetic analysis and clinical applications. Current methods focused on generating an overall pathogenicity prediction score while overlooking the fact that variant effect should be multi-dimensional via different modes of action, such as gain or loss of function, and loss of folding stability or enzymatic activity. Recent breakthrough of high-capacity language models enabled ab initio prediction of protein structur…

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            NeurIPS 2022

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