Python code for estimating parameters of an ALAAM model. by Alex Stivala (8356257)

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FWC python implementation by Roland Mühlenbernd (11755871)

Implementation of the SAACS in python. by Pavel Škrabánek (6106427)

SCADET algorithm parameter configuration (Python implementation). by Xiaolong Zhang (470454)

Source Code for the Hierarchical Key Assignment Scheme (HKAS) by Baris Celiktas (22804778)

Tools used in implementing the RNN models. by Fahmi H. Quradaa (17896527)

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Python code that implements the Hoshen Kopleman algorithm used to identify the clusters shown in Figs 9 and 10. by Leonardo Costa Ribeiro (10439243)

“…<p>Python code that implements the Hoshen Kopleman algorithm used to identify the clusters shown in Figs <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0285630#pone.0285630.g009" target="_blank">9</a> and <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0285630#pone.0285630.g010" target="_blank">10</a>.…”

Secure Python Code Manager: A Tool for Protected Python Code Distribution and Management by Pavel Izosimov (20096259)

“…</li><li><b>Source Code Protection</b>: Implement multi-level <b>source code protection</b> with dynamic <b>code obfuscation in Python</b>, making it significantly harder for others to reverse-engineer your code.…”

Analysis of the selected studies in terms of tools used for implementing RNN models. by Fahmi H. Quradaa (17896527)

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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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ProSmith outperforms the ESP model in the prediction of enzyme-substrate pairs especially for molecules with limited representation in the test data. by Alexander Kroll (9304225)

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Performance metrics for all three trained gradient boosting models with different input vectors and for their combined weighted mean prediction. by Alexander Kroll (9304225)

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The optimal ProSmith models combine predictions based on the multimodal Transformer Network with predictions based on separate numerical representations of proteins and small molec... by Alexander Kroll (9304225)

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Performance metrics for ProSmith and previously published methods for DTA prediction for different splitting scenarios. by Alexander Kroll (9304225)

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For accurate DTA predictions, ProSmith requires training on identical drugs but not on similar proteins. by Alexander Kroll (9304225)

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Replacing the final prediction layer of end-to-end trained Transformer Networks with gradient boosting models improves performance. 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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Performance metrics for ProSmith and ESP for the prediction of enzyme-substrate pairs. 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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