R Source Code of the Model

Dryad2019-01-01 更新2026-04-13 收录

演化模拟

计算生物学

数据链接：

https://datadryad.org/resource/doi:10.5061/dryad.4g1t4ht/1 数据链接链接失效反馈

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资源简介：

This file contains the R Source Code of the most complex model (as described in Supplementary Text S4) investigating the ecology and evolution of the tSry gene when released into a population.

创建时间：

2019-01-01

项目二课题三2024年年度计划

酶学研究

计算生物学

年度指标：（1）获得非标记和同位素标记的生物酶试验样品，包括酶的表达载体构建，表达条件优化及筛选，制备可供NMR测量的酶样品；（2）构建用于环境模拟研究的生物酶的初始结构，探索类细胞环境的计算机模拟实验；（3）优化开展NMR等实验的合适条件，初步残基NMR数据；（4）建立酶催化体系的拥挤、限域等类细胞环境，探索别构效应诱发条件，测试相应条件下酶活性变化。

中国科学院兰州化学物理研究所科学数据中心2026-01-09 更新130

Supplemental Material for Nielly-Thibault and Landry, 2019

蛋白质内在无序性预测

计算生物学

The file "Notebook.ipynb" is a Jupyter notebook containing the Python2 and Bash code used to generate figures 2 and S1. The Bash code in this notebook makes use of the three Python2 scripts "simulate_

NIAID Data Ecosystem30

Values of the parameter f1 in the model extension.

细胞生长动力学

计算生物学

f1 values for model extension with cell cycle arrest species. Same experimental data as in Table 1. For all simulations parameter r = rmax is set to 0.70 determined for HeLa cell growth rate and param

Figshare2015-12-02 更新10

Performance in validation on isolates not present in the original dataset.

生物抗性预测

计算生物学

Validation parameters were calculated using different forms of grouping to give an unbiased error estimate. Class wide values are indicated in italic and the global average performance is indicated in

Figshare2015-12-02 更新30

POSYDON School 2025 data

演化模拟

双星系统数值模拟

Synthetic stellar populations (created with $\texttt{POSYDON v2}$) and MESA ($\texttt{r11701}$) simulation data used during the POSYDON 2025 School for coding exercises. The corresponding exercises (l

Zenodo2025-12-18 更新20

R Source Code of the Model

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