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Functional prediction of SOD1 protein variants.
Published 2021“…(B) Functional prediction from the variant T40I to V88M. …”
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Getting Docking into Shape Using Negative Image-Based Rescoring
Published 2019“…The failure of default scoring functions to ensure virtual screening enrichment is a persistent problem for the molecular docking algorithms used in structure-based drug discovery. …”
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Interpretation of Phase Boundary Fluctuation Spectra in Biological Membranes with Nanoscale Organization
Published 2020“…The convolution function is given by <i>h</i> ⊗ <i>g</i> where <i>h</i> is the instantaneous height fluctuation, and <i>g</i> is the Gaussian function. …”
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Interpretation of Phase Boundary Fluctuation Spectra in Biological Membranes with Nanoscale Organization
Published 2020“…The convolution function is given by <i>h</i> ⊗ <i>g</i> where <i>h</i> is the instantaneous height fluctuation, and <i>g</i> is the Gaussian function. …”
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Interpretation of Phase Boundary Fluctuation Spectra in Biological Membranes with Nanoscale Organization
Published 2020“…The convolution function is given by <i>h</i> ⊗ <i>g</i> where <i>h</i> is the instantaneous height fluctuation, and <i>g</i> is the Gaussian function. …”
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Interpretation of Phase Boundary Fluctuation Spectra in Biological Membranes with Nanoscale Organization
Published 2020“…The convolution function is given by <i>h</i> ⊗ <i>g</i> where <i>h</i> is the instantaneous height fluctuation, and <i>g</i> is the Gaussian function. …”
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Interpretation of Phase Boundary Fluctuation Spectra in Biological Membranes with Nanoscale Organization
Published 2020“…The convolution function is given by <i>h</i> ⊗ <i>g</i> where <i>h</i> is the instantaneous height fluctuation, and <i>g</i> is the Gaussian function. …”
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Interpretation of Phase Boundary Fluctuation Spectra in Biological Membranes with Nanoscale Organization
Published 2020“…The convolution function is given by <i>h</i> ⊗ <i>g</i> where <i>h</i> is the instantaneous height fluctuation, and <i>g</i> is the Gaussian function. …”