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Frank Alber1,4, Svetlana Dokudovskaya2,4,5, Liesbeth M. Veenhoff2,4,5, Wenzhu Zhang3, Julia Kipper2,5, Damien Devos1,5, Adisetyantari Suprapto2,5, Orit Karni-Schmidt2,5, Rosemary Williams2, Brian T. Chait3, Michael P. Rout2 & Andrej Sali1
Correspondence to: Brian T. Chait3Michael P. Rout2Andrej Sali1 Correspondence and requests for materials should be addressed to A.S. (Email: sali@salilab.org), M.P.R. (Email: rout@rockefeller.edu), or B.T.C. (Email: chait@rockefeller.edu).
To understand the workings of a living cell, we need to know the architectures of its macromolecular assemblies. Here we show how proteomic data can be used to determine such structures. The process involves the collection of sufficient and diverse high-quality data, translation of these data into spatial restraints, and an optimization that uses the restraints to generate an ensemble of structures consistent with the data. Analysis of the ensemble produces a detailed architectural map of the assembly. We developed our approach on a challenging model system, the nuclear pore complex (NPC). The NPC acts as a dynamic barrier, controlling access to and from the nucleus, and in yeast is a 50 MDa assembly of 456 proteins. The resulting structure, presented in an accompanying paper, reveals the configuration of the proteins in the NPC, providing insights into its evolution and architectural principles. The present approach should be applicable to many other macromolecular assemblies.