Evidence map›Paper›PMID 20635343›Full record

ArticleProteins2010

Binding of nonsteroidal anti-inflammatory drugs to Abeta fibril.

Takako Takeda, Wenling E Chang, E Prabhu Raman, Dmitri K Klimov

Open access · greenAbstract read
In one paragraph

Article in Proteins, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

10 citing papers in PubMed, 32 citations in OpenAlex.

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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

4 authors at 3 institutions in 1 country.

Takako TakedaDepartment of Bioinformatics and Computational Biology, George Mason University, Manassas, Virginia 20110, USA.
Wenling E Chang
E Prabhu Raman
Dmitri K Klimov
George Mason University · USMitre (United States) · USUniversity of Maryland, Baltimore · US

Funding

Pathways of Alzehimer's amyloid assembly studied by computer simulationsR01AG028191 · NIA · GEORGE MASON UNIVERSITY · PI KLIMOV, DMITRI KONSTANTINOVICH · 2007 to 2009
$490k
NIA NIH HHS R01 AG028191
6 · The paper itself

Abstract

Nonsteroidal anti-inflammatory drugs are considered as potential therapeutic agents against Alzheimer's disease. Using replica exchange molecular dynamics and atomistic implicit solvent model, we studied the mechanisms of binding of naproxen and ibuprofen to the Abeta fibril derived from solid-state NMR measurements. The binding temperature of naproxen is found to be almost 40 K higher than of ibuprofen implicating higher binding affinity of naproxen. The key factor, which enhances naproxen binding, is strong interactions between ligands bound to the surface of the fibril. The naphthalene ring in naproxen appears to provide a dominant contribution to ligand-ligand interactions. In contrast, ligand-fibril interactions cannot explain differences in the binding affinities of naproxen and ibuprofen. The concave fibril edge with the groove is identified as the primary binding location for both ligands. We show that confinement of the ligands to the groove facilitates ligand-ligand interactions that lowers the energy of the ligands bound to the concave edge compared with those bound to the convex edge. Our simulations appear to provide microscopic rationale for the differing binding affinities of naproxen and ibuprofen observed experimentally.

Indexed as

Models, MolecularAmino Acid SequenceAmyloid beta-PeptidesAnti-Inflammatory Agents, Non-SteroidalBinding, CompetitiveBinding SitesComputer SimulationHumansIbuprofenKineticsMolecular Sequence DataMolecular StructureNaproxenProtein BindingProtein ConformationProtein Structure, TertiaryAmyloid beta-PeptidesAnti-Inflammatory Agents, Non-SteroidalIbuprofenNaproxen

Identifiers

PMID20635343
PMCPMC3058518
OpenAlexW2143381281

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.