Runtime comparison using our API vs published/standard Python implementations. by Lu Bin Liu (14279482)

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Collision Efficiency Parameter Influence on Pressure-Dependent Rate Constant Calculations Using the SS-QRRK Theory by E. Grajales-González (6083633)

“…To overcome this underestimation problem, we evaluated and implemented in a bespoke Python code two alternative definitions for the collision efficiency using the SS-QRRK theory and tested their performance by comparing the pressure-dependent rate constants with the Rice–Ramsperger–Kassel–Marcus/Master Equation (RRKM/ME) results. …”

Collision Efficiency Parameter Influence on Pressure-Dependent Rate Constant Calculations Using the SS-QRRK Theory by E. Grajales-González (6083633)

“…To overcome this underestimation problem, we evaluated and implemented in a bespoke Python code two alternative definitions for the collision efficiency using the SS-QRRK theory and tested their performance by comparing the pressure-dependent rate constants with the Rice–Ramsperger–Kassel–Marcus/Master Equation (RRKM/ME) results. …”

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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ProSmith outperforms previous models in the prediction of Michaelis constants <i>K</i>_M especially for enzymes not highly similar to proteins in the training set. by Alexander Kroll (9304225)

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Data_Sheet_1_An Open-Source Tool for Anisotropic Radiation Therapy Planning in Neuro-oncology Using DW-MRI Tractography.pdf by Kesshi Jordan (7329089)

“…We present an open-source WMPL tool, implemented in the package Diffusion Imaging in Python (DIPY), and code to convert the resulting WMPL map to anisotropic contours for RT in a commercial treatment planning system. …”

Python code for ray-tracing through Cartesian surfaces by Alberto Silva (8373543)

Fitting a feast/famine cycle to a glycolysis model. by Paul van Lent (16876977)

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Schematic example of multiscale modelling implementation. by Robyn M. Stuart (3754000)

Local Python Code Protector Script: A Tool for Source Code Protection and Secure Code Sharing by Pavel Izosimov (20096259)

“…</p><h2>Key Features</h2><ul><li><a href="https://xn--mxac.net/secure-python-code-manager.html" target="_blank"><b>Code Obfuscation in Python</b></a>: Implements multi-level protection with dynamic encryption and obfuscation techniques, making it an effective <a href="https://xn--mxac.net/secure-python-code-manager.html" target="_blank"><b>Python obfuscator</b></a>.…”

A Cell-Based, Dynamic Flow Direction Model (DFD Model) for Water Balance Calculations Simulating Overland Runoff through Depressions Implemented using Python and GIS by Zhentao Wang (13042179)

“…<p>A Cell-Based, Dynamic Flow Direction Model (DFD Model) for Water Balance Calculations Simulating Overland Runoff through Depressions Implemented using Python and GIS</p>…”

Parameters and units for the Microbial Consumer Resource Model. by Robert Marsland (8616483)

Multi-Version PYZ Builder Script: A Universal Python Module Creation Tool by Pavel Izosimov (20096259)

“…</li></ul><p dir="ltr"><b>Application Areas</b></p><p dir="ltr">The <b>Multi-Version PYZ Builder Script</b> can be effectively applied in various areas:</p><ul><li><b>Commercial Distribution</b>: Distribute protected Python code to clients or customers, implementing advanced <a href="https://xn--mxac.net/secure-python-code-manager.html" target="_blank"><b>source code protection</b></a> for sales or rentals.…”

BOFdat: Generating biomass objective functions for genome-scale metabolic models from experimental data by Jean-Christophe Lachance (6619307)

“…To fill this gap in the metabolic modeling software ecosystem, we implemented BOFdat, a Python package for the definition of a <b>B</b>iomass <b>O</b>bjective <b>F</b>unction from experimental <b>dat</b>a. …”

Reproducible implementation for article: Reproducibility study of the modular and reusable model of epithelial transport in the proximal convoluted tubule by Leyla Noroozbabaee (14301173)

Invert4Geom; Progress towards an open-source geometric gravity inversion with stochastic uncertainty analysis by Matt Tankersley (11769215)

“…Here, we present a preliminary inversion algorithm written in Python to perform these geometric style of gravity inversions. …”

PyRates—A Python framework for rate-based neural simulations by Richard Gast (8129451)

“…In this work, we present PyRates, a Python framework that provides the means to build a large variety of rate-based neural models. …”

Python programming code for the stochastic inference of disease interval distributions. by Günter Schneckenreither (10099380)

Python implementation for image-based ERT inversion using ViT, CNN, UNet, and LDM models, and related data conversion and visualization by Huichao Yin (14589020)

“…<p dir="ltr">Python implementation for image-based ERT inversion using ViT, CNN, UNet, and LDM models, and related data conversion and visualization.…”

Example of loading and running BNGL model in MCell4. by Adam Husar (18437351)

“…<p>Python code for an MCell4 model that will implement loading of the BNGL file shown in <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1011800#pcbi.1011800.g010" target="_blank">Fig 10</a> (referenced as subsystem.bngl). …”