pytc: Open-Source Python']Python Software for Global Analyses of Isothermal Titration Calorimetry Data

被引:19
作者
Duvvuri, Hiranmayi [1 ,2 ]
Wheeler, Lucas C. [1 ,2 ]
Harms, Michael J. [1 ,2 ]
机构
[1] Univ Oregon, Dept Chem & Biochem, Eugene, OR 97403 USA
[2] Univ Oregon, Inst Mol Biol, Eugene, OR 97403 USA
基金
美国国家卫生研究院;
关键词
BINDING; SEDPHAT; HOFF;
D O I
10.1021/acs.biochem.7b01264
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Here we describe pytc, an open-source Python package for global fits of thermodynamic models to multiple isothermal titration calorimetry experiments. Key features include simplicity, the ability to implement new thermodynamic models, a robust maximum likelihood fitter, a fast Bayesian Markov-Chain Monte Carlo sampler, rigorous implementation, extensive documentation, and full cross platform compatibility. pytc fitting can be done using an application program interface or via a graphical user interface.
引用
收藏
页码:2578 / 2583
页数:6
相关论文
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