Performance metrics for ProSmith and previously published methods for DTA prediction on the random split of the Davis dataset. by Alexander Kroll (9304225)

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Coefficient of determination <i>R</i>² of ProSmith for different splitting scenarios of the Davis dataset. by Alexander Kroll (9304225)

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We divided the ESP test set into subsets according to the number of positive data points with the same small molecule in the training set. by Alexander Kroll (9304225)

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We divided the ESP test set into subsets according to the maximal sequence identity of an enzyme compared to all training enzymes. by Alexander Kroll (9304225)

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Performance metrics of ProSmith and previously published methods for the prediction of Michaelis constants <i>K</i>_M. by Alexander Kroll (9304225)

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Hyperparameters of the ProSmith Transformer Network. by Alexander Kroll (9304225)

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3D modeling qualities of the AS single-template models built by including DOPE in the objective function of MODELLER. by Giacomo Janson (8138517)

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Forecasting for second-hand house prices in China using the GA-PSO-BP neural-network model. (Excel Dataset and Python Code) by Ji Huabin (20531408)

3D modeling qualities of the AM multiple-template models built by including DOPE in the objective function of MODELLER. by Giacomo Janson (8138517)

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Revisiting the “satisfaction of spatial restraints” approach of MODELLER for protein homology modeling by Giacomo Janson (8138517)

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Model for the maximal effective bandwidth of numerical models (lines = model prediction by Eq 12; symbols = measured maximal effective bandwidth; filled = f64; hollow = f32; black... by Xuzhen He (14676114)

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3D modeling qualities of the AS single-template models built with optimal HDDRs and alignments. by Giacomo Janson (8138517)

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IJGIS-2020-0089_dataset&codes by zhewei liu (7519670)

3D modeling qualities of the AM multiple-template models built with optimal HDDRs and alignments. by Giacomo Janson (8138517)

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FWC python implementation by Roland Mühlenbernd (11755871)

A Python implementation of Gardner's model by Quentin Brissaud (12461415)

“…<p>A Python implementation of Gardner's model to generate atmospheric gravity-wave perturbations</p>…”

Functions 1.0 by Jonatan Flyckt (8101010)

Functions 2.0 by Jonatan Flyckt (8101010)

ElectroPredictor: An Application to Predict Mayr’s Electrophilicity <i>E</i> through Implementation of an Ensemble Model Based on Machine Learning Algorithms by Sebastián A. Cuesta (12048044)

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The maximum deviation of SDR with different <i>c</i>-values predict by ITC measurement model and variance function. by Xiujie Ge (6831833)