Science for Life Laboratory and Department of Biochemistry and biophysics, Stockholm University, Tomtebodav 23, 171 21 Solna, Sweden.
Centre of New Technologies, University of Warsaw, Banacha 2c, 02097 Warsaw, Poland.
J Mol Biol. 2019 Jun 14;431(13):2442-2448. doi: 10.1016/j.jmb.2019.01.047. Epub 2019 Feb 21.
At present, about half of the protein domain families lack a structural representative. However, in the last decade, predicting contact maps and using these to model the tertiary structure for these protein families have become an alternative approach to gain structural insight. At present, reliable models for several hundreds of protein families have been created using this approach. To increase the use of this approach, we present PconsFam, which is an intuitive and interactive database for predicted contact maps and tertiary structure models of the entire Pfam database. By modeling all possible families, both with and without a representative structure, using the PconsFold2 pipeline, and running quality assessment estimator on the models, we predict an estimation for how confident the contact maps and structures are for each family.
目前,大约有一半的蛋白质结构域家族缺乏结构代表性。然而,在过去的十年中,预测接触图并用这些接触图来模拟这些蛋白质家族的三级结构已成为获得结构见解的一种替代方法。目前,已经使用这种方法为数百个蛋白质家族创建了可靠的模型。为了增加这种方法的使用,我们提出了 PconsFam,这是一个直观和交互式的数据库,用于预测 Pfam 数据库的整个接触图和三级结构模型。通过使用 PconsFold2 管道对所有可能的家族(包括有和没有代表性结构的家族)进行建模,并对模型进行质量评估估计器的运行,我们预测了每个家族的接触图和结构的置信度。