Epistasis in a fitness landscape defined by antibody-antigen binding free energy

Data and code used to generate figures for "Epistasis in a fitness landscape defined by antibody-antigen binding free energy". This code is correct at time of submission, but will be updated at
https://github.com/rhys-m-adams/epistasis_4_4_20

This code attempts to quantify the level of epistasis in CDR1H and CDR3H domains of the 4-4-20 fluorescein binding antibody.

The readme details how to run the code, but briefly, install python 3.6, pymol as a command line argument, Numpy, scipy, matplotlib, emcee, cvxopt, svgutils, and pybeeswarm, then run the make_figs.sh script.

本数据集与代码用于复现《抗体-抗原结合自由能定义的适应度景观中的上位性（Epistasis）》一文的配图。本代码在投稿时已验证无误，后续更新将发布于 https://github.com/rhys-m-adams/epistasis_4_4_20。本代码旨在量化结合荧光素的4-4-20型抗体的重链互补决定区1（CDR1H）与重链互补决定区3（CDR3H）中的上位性水平。自述文件详细说明了代码的运行方式，简要流程为：安装Python 3.6、命令行版PyMOL，以及NumPy、SciPy、Matplotlib、emcee、cvxopt、svgutils与pybeeswarm库，随后运行make_figs.sh脚本。