Evidence map›Paper›PMID 18954462›Full record

ArticleBMC structural biology2008

Protein functional surfaces: global shape matching and local spatial alignments of ligand binding sites.

T Andrew Binkowski, Andrzej Joachimiak

Abstract readEvaluation Study
In one paragraph

Article in BMC structural biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
–field-weighted citation impact
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

32 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Protein Structure Inspired Drug Discovery.bioRxiv : the preprint server for biology · 2024
    Article
  6. Estimating the Similarity between Protein Pockets.International journal of molecular sciences · 2022
    Review
  7. Chemometric Models of Differential Amino Acids at the NaMolecules (Basel, Switzerland) · 2020
    Article
  8. Electrostatic recognition in substrate binding to serine proteases.Journal of molecular recognition : JMR · 2018
    Article
  9. Article
  10. Article
  11. Article
  12. Virtual high-throughput ligand screening.Methods in molecular biology (Clifton, N.J.) · 2014
    Article
  13. Article
  14. Article
  15. Article
  16. Structure- and sequence-based function prediction for non-homologous proteins.Journal of structural and functional genomics · 2012
    Article
  17. Article
  18. Structure of transcription factor HetR required for heterocyst differentiation in cyanobacteria.Proceedings of the National Academy of Sciences of the United States of America · 2011
    Article
  19. Article
  20. Protein surface characterization using an invariant descriptor.International journal of biomedical imaging · 2011
    Article
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

2 authors.

T Andrew BinkowskiMidwest Center for Structural Genomics and Structural Biology Center, Biosciences Division, Argonne National Laboratory, Argonne, Illinois 60439, USA. abinkowski@anl.gov
Andrzej Joachimiak

Funding

The Midwest Center for Structural GenomicsU54GM074942 · NIGMS · UNIVERSITY OF CHICAGO · PI JOACHIMIAK, ANDRZEJ · 2005 to 2009
$51.0M
THE MIDWEST CENTER FOR STRUCTURAL GENOMICSP50GM062414 · NIGMS · UNIVERSITY OF CHICAGO · PI JOACHIMIAK, ANDRZEJ JOACHIMIAK · 2000 to 2004
$33.2M
NIGMS NIH HHS GM074942NIGMS NIH HHS GM62414NIGMS NIH HHS P50 GM062414NIGMS NIH HHS U54 GM074942
6 · The paper itself

Abstract

backgroundProtein surfaces comprise only a fraction of the total residues but are the most conserved functional features of proteins. Surfaces performing identical functions are found in proteins absent of any sequence or fold similarity. While biochemical activity can be attributed to a few key residues, the broader surrounding environment plays an equally important role.

resultsWe describe a methodology that attempts to optimize two components, global shape and local physicochemical texture, for evaluating the similarity between a pair of surfaces. Surface shape similarity is assessed using a three-dimensional object recognition algorithm and physicochemical texture similarity is assessed through a spatial alignment of conserved residues between the surfaces. The comparisons are used in tandem to efficiently search the Global Protein Surface Survey (GPSS), a library of annotated surfaces derived from structures in the PDB, for studying evolutionary relationships and uncovering novel similarities between proteins.

conclusionWe provide an assessment of our method using library retrieval experiments for identifying functionally homologous surfaces binding different ligands, functionally diverse surfaces binding the same ligand, and binding surfaces of ubiquitous and conformationally flexible ligands. Results using surface similarity to predict function for proteins of unknown function are reported. Additionally, an automated analysis of the ATP binding surface landscape is presented to provide insight into the correlation between surface similarity and function for structures in the PDB and for the subset of protein kinases.

Indexed as

Structural Homology, ProteinAdenosine TriphosphateAlgorithmsBinding SitesDatabases, ProteinHemeproteinsHIV ProteaseLigandsModels, MolecularNucleotidesProtein ConformationProtein KinasesProteinsSurface PropertiesAdenosine TriphosphateHemeproteinsHIV ProteaseLigandsNucleotidesp16 protease, Human immunodeficiency virus 1Protein KinasesProteins

Identifiers

PMID18954462
PMCPMC2626596

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.