Evidence map›Paper›PMID 21338610›Full record

ArticleJournal of molecular biology2011

Energetics-based discovery of protein-ligand interactions on a proteomic scale.

Pei-Fen Liu, Daisuke Kihara, Chiwook Park

Abstract read
In one paragraph

Article in Journal of molecular biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

33 citing papers in PubMed, 62 citations in OpenAlex.

  1. Article
  2. Review
  3. Target Engagement Assays in Early Drug Discovery.Journal of medicinal chemistry · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Databases and Tools to Investigate Protein-Metabolite Interactions.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Chaperone action of a cofactor in protein folding.Protein science : a publication of the Protein Society · 2020
    Article
  17. Article
  18. Article
  19. Article
  20. Review
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.

Pei-Fen LiuDepartment of Medicinal Chemistry and Molecular Pharmacology, Purdue University, West Lafayette, IN 47907, USA.
Daisuke Kihara
Chiwook Park
Purdue University West Lafayette · US

Funding

Surface Shape Based Screening of Large Protein DatabasesR01GM075004 · NIGMS · PURDUE UNIVERSITY WEST LAFAYETTE · PI KIHARA, DAISUKE · 2005 to 2009
$1.5M
NIGMS NIH HHS R01 GM075004
6 · The paper itself

Abstract

Biochemical functions of proteins in cells frequently involve interactions with various ligands. Proteomic methods for the identification of proteins that interact with specific ligands such as metabolites, signaling molecules, and drugs are valuable in investigating the regulatory mechanisms of cellular metabolism, annotating proteins with unknown functions, and elucidating pharmacological mechanisms. Here we report an energetics-based target identification method in which target proteins in a cell lysate are identified by exploiting the effect of ligand binding on their stabilities. Urea-induced unfolding of proteins in cell lysates is probed by a short pulse of proteolysis, and the effect of a ligand on the amount of folded protein remaining is monitored on a proteomic scale. As proof of principle, we identified proteins that interact with ATP in the Escherichia coli proteome. Literature and database mining confirmed that a majority of the identified proteins are indeed ATP-binding proteins. Four identified proteins that were previously not known to interact with ATP were cloned and expressed to validate the result. Except for one protein, the effects of ATP on urea-induced unfolding were confirmed. Analyses of the protein sequences and structure models were also employed to predict potential ATP binding sites in the identified proteins. Our results demonstrate that this energetics-based target identification approach is a facile method to identify proteins that interact with specific ligands on a proteomic scale.

Indexed as

Adenosine TriphosphateAmino Acid SequenceBinding SitesElectrophoresis, Gel, Two-DimensionalEscherichia coliEscherichia coli ProteinsLigandsModels, MolecularMolecular Sequence DataProtein FoldingProteomeRecombinant ProteinsSequence Homology, Amino AcidSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationAdenosine TriphosphateEscherichia coli ProteinsLigandsProteomeRecombinant Proteins

Identifiers

PMID21338610
PMCPMC3073411
OpenAlexW2007153414

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.