pStab：稳定突变体预测、展开曲线、稳定性图谱和蛋白质静电挫败。
pStab: prediction of stable mutants, unfolding curves, stability maps and protein electrostatic frustration.
机构信息
Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras (IITM), Chennai 600036, India.
出版信息
Bioinformatics. 2018 Mar 1;34(5):875-877. doi: 10.1093/bioinformatics/btx697.
Abstract
SUMMARY
We present a web-server for rapid prediction of changes in protein stabilities over a range of temperatures and experimental conditions upon single- or multiple-point substitutions of charged residues. Potential mutants are identified by a charge-shuffling procedure while the stability changes (i.e. an unfolding curve) are predicted employing an ensemble-based statistical-mechanical model. We expect this server to be a simple yet detailed tool for engineering stabilities, identifying electrostatically frustrated residues, generating local stability maps and in constructing fitness landscapes.
AVAILABILITY AND IMPLEMENTATION
The web-server is freely available at http://pbl.biotech.iitm.ac.in/pStab and supports recent versions of all major browsers.
CONTACT
SUPPLEMENTARY INFORMATION
Supplementary data are available at Bioinformatics online.
摘要
摘要
我们提出了一个网络服务器，用于快速预测在单个或多个点取代带电残基时，蛋白质稳定性在一系列温度和实验条件下的变化。通过电荷置换程序来识别潜在的突变体，而稳定性变化（即展开曲线）则通过基于集合的统计力学模型进行预测。我们希望这个服务器成为一个简单而详细的工程稳定性工具，用于识别静电受挫残基、生成局部稳定性图谱和构建适应度景观。
可用性和实现
该网络服务器可在 http://pbl.biotech.iitm.ac.in/pStab 免费获得，并支持所有主要浏览器的最新版本。
联系方式
补充信息
补充数据可在Bioinformatics 在线获得。
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