Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras (IITM), Chennai 600036, India.
Bioinformatics. 2018 Mar 1;34(5):875-877. doi: 10.1093/bioinformatics/btx697.
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.
The web-server is freely available at http://pbl.biotech.iitm.ac.in/pStab and supports recent versions of all major browsers.
Supplementary data are available at Bioinformatics online.
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。
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。
补充数据可在Bioinformatics 在线获得。
