Evidence map›Paper›PMID 20192262›Full record

ReviewAccounts of chemical research2010

Metal-directed protein self-assembly.

Eric N Salgado, Robert J Radford, F Akif Tezcan

Abstract readReview
In one paragraph

Review in Accounts of chemical research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed
8.2field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

69 citing papers in PubMed, 286 citations in OpenAlex.

  1. Review
  2. Review
  3. Nickel binding to c-Src SH3 domain facilitates crystallization.bioRxiv : the preprint server for biology · 2025
    Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Grafting the ALFA tag for structural studies of aquaporin Z.Journal of structural biology: X · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Engineering Functional Membrane-Membrane Interfaces by InterSpy.Small (Weinheim an der Bergstrasse, Germany) · 2023
    Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Protein Assembly by Design.Chemical reviews · 2021
    Review

9 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Eric N SalgadoDepartment of Chemistry and Biochemistry, University of California, San Diego, 9500 Gilman Drive, La Jolla, California 92093, USA.
Robert J Radford
F Akif Tezcan
University of California, San Diego · US

Funding

MOLECULAR BIOPHYSICS TRAINING PROGRAMT32GM008326 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KOMIVES, ELIZABETH A. · 1989 to 2020
$7.5M
HEMOGLOBIN AND BLOOD PROTEIN CHEMISTRYT32DK007233 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KOMIVES, ELIZABETH A. · 1986 to 2012
$4.6M
Metal-mediated Protein-protein Interactions as Basis for Novel Bio-materialsF31GM087957 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SALGADO, ERIC NOLAN · 2009 to 2010
$64k
NIDDK NIH HHS T32 DK007233NIGMS NIH HHS F31 GM087957NIGMS NIH HHS T32 GM008326
6 · The paper itself

Abstract

Proteins are nature's premier building blocks for constructing sophisticated nanoscale architectures that carry out complex tasks and chemical transformations. Some 70%-80% of all proteins are thought to be permanently oligomeric; that is, they are composed of multiple proteins that are held together in precise spatial organization through noncovalent interactions. Although it is of great fundamental interest to understand the physicochemical basis of protein self-assembly, the mastery of protein-protein interactions (PPIs) would also allow access to novel biomaterials with nature's favorite and most versatile building block. In this Account, we describe a new approach we have developed with this possibility in mind, metal-directed protein self-assembly (MDPSA), which utilizes the strength, directionality, and selectivity of metal-ligand interactions to control PPIs. At its core, MDPSA is inspired by supramolecular coordination chemistry, which exploits metal coordination for the self-assembly of small molecules into discrete, more-or-less predictable higher order structures. Proteins, however, are not exactly small molecules or simple metal ligands: they feature extensive, heterogeneous surfaces that can interact with each other and with metal ions in unpredictable ways. We begin by first describing the challenges of using entire proteins as molecular building blocks. We follow with an examination of our work on a model protein (cytochrome cb(562)), highlighting challenges toward establishing ground rules for MDPSA as well as progress in overcoming these challenges. Proteins are also nature's metal ligands of choice. In MDPSA, once metal ions guide proteins into forming large assemblies, they are by definition embedded within extensive interfaces formed between protein surfaces. These complex surfaces make an inorganic chemist's life somewhat difficult, yet they also provide a wide platform to modulate the metal coordination environment through distant, noncovalent interactions, exactly as natural metalloproteins and enzymes do. We describe our computational and experimental efforts toward restructuring the noncovalent interaction network formed between proteins surrounding the interfacial metal centers. This approach, of metal templating followed by the redesign of protein interfaces (metal-templated interface redesign, MeTIR), not only provides a route to engineer de novo PPIs and novel metal coordination environments but also suggests possible parallels with the evolution of metalloproteins.

Indexed as

Protein MultimerizationLigandsMetalsProteinsProtein Structure, QuaternaryThermodynamicsLigandsMetalsProteins

Identifiers

PMID20192262
PMCPMC2873059
OpenAlexW2022680058

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.