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learning functions » hearing functions (Expand Search), learning predictions (Expand Search)
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python function » protein function (Expand Search)
learning functions » hearing functions (Expand Search), learning predictions (Expand Search)
algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
python function » protein function (Expand Search)
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5581
Data Sheet 4_Successful prediction of LC8 binding to intrinsically disordered proteins sheds light on AlphaFold’s black box.csv
Published 2025“…</p>Discussion<p>Correlations between binding affinities and AlphaFold scores provide insight into the black box and indicate that AlphaFold learned an inaccurate energy function that nevertheless is useful for making inferences and conclusions about physical systems. …”
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5582
Table 8_Successful prediction of LC8 binding to intrinsically disordered proteins sheds light on AlphaFold’s black box.xlsx
Published 2025“…</p>Discussion<p>Correlations between binding affinities and AlphaFold scores provide insight into the black box and indicate that AlphaFold learned an inaccurate energy function that nevertheless is useful for making inferences and conclusions about physical systems. …”
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5583
Presentation 2_Successful prediction of LC8 binding to intrinsically disordered proteins sheds light on AlphaFold’s black box.pptx
Published 2025“…</p>Discussion<p>Correlations between binding affinities and AlphaFold scores provide insight into the black box and indicate that AlphaFold learned an inaccurate energy function that nevertheless is useful for making inferences and conclusions about physical systems. …”
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5584
Table 2_Successful prediction of LC8 binding to intrinsically disordered proteins sheds light on AlphaFold’s black box.xlsx
Published 2025“…</p>Discussion<p>Correlations between binding affinities and AlphaFold scores provide insight into the black box and indicate that AlphaFold learned an inaccurate energy function that nevertheless is useful for making inferences and conclusions about physical systems. …”
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5585
Data Sheet 9_Successful prediction of LC8 binding to intrinsically disordered proteins sheds light on AlphaFold’s black box.csv
Published 2025“…</p>Discussion<p>Correlations between binding affinities and AlphaFold scores provide insight into the black box and indicate that AlphaFold learned an inaccurate energy function that nevertheless is useful for making inferences and conclusions about physical systems. …”
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5586
Neural network model implementing a FRF (Filter-Rectify-Filter) arrangement for texture segmentation.
Published 2019“…<p>Parameters shown in blue are learned from data, those in black are fixed. Stimulus image <b>I</b> is filtered by a bank of first-stage energy filters, resembling V1 complex cells, whose downsampled responses provide a feature vector input <b>x</b> to two second-stage filters. …”
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5587
A comprehensive Bayesian parameter estimation and uncertainty quantification framework for dynamical models in systems biology.
Published 2022“…A state-constrained Unscented Kalman filter approximates the likelihood function to account for uncertainty in the model equations. …”