Literature search services are currently unavailable. During our hosting provider's UPS upgrade we experienced a hardware failure and are currently working to resolve the issue.

Preparing your results

Our searching services are busy right now. Your search will reload in five seconds.

Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

Determining the architectures of macromolecular assemblies.

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.

Pubmed ID: 18046405


  • Alber F
  • Dokudovskaya S
  • Veenhoff LM
  • Zhang W
  • Kipper J
  • Devos D
  • Suprapto A
  • Karni-Schmidt O
  • Williams R
  • Chait BT
  • Rout MP
  • Sali A



Publication Data

November 29, 2007

Associated Grants

  • Agency: NIGMS NIH HHS, Id: R01 GM062427
  • Agency: NIGMS NIH HHS, Id: R01 GM083960
  • Agency: NCRR NIH HHS, Id: U54 RR022220

Mesh Terms

  • Cell Survival
  • Computational Biology
  • Macromolecular Substances
  • Microscopy, Immunoelectron
  • Models, Biological
  • Nuclear Pore
  • Nuclear Pore Complex Proteins
  • Protein Binding
  • Proteomics
  • Saccharomyces cerevisiae
  • Saccharomyces cerevisiae Proteins
  • Sensitivity and Specificity
  • Uncertainty