Evidence map›Paper›PMID 26093686›Full record

ArticleJournal of molecular modeling2015

Computational studies of the binding mechanisms of fullerenes to human serum albumin.

Jinyu Li, Lizhi Jiang, Xiaolei Zhu

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of molecular modeling, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Enhanced Uptake and Phototoxicity of CNanomaterials (Basel, Switzerland) · 2022
    Article
  3. Article
  4. 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 2 institutions in 3 countries.

Jinyu LiState Key Laboratory of Materials-Oriented Chemical Engineering, College of Chemistry and Chemical Engineering, Nanjing Tech University, Nanjing, 210009, China.
Lizhi Jiang
Xiaolei Zhu
Nanjing Tech University · CNKyushu University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fullerene and its derivatives show promising prospects for applications in a vast array of biological systems. A key aspect concerning their biomedical applications is how they interact with proteins from molecular levels, which is still poorly understood. In the current study, we investigated the structural and thermodynamic basis of the interactions between two pharmacologically relevant fullerene derivatives and human serum albumin (HSA) using molecular docking, molecular dynamics simulations, and binding free energy calculations. Our results demonstrate that fullerenes steadily bind with HSA at the interfacial cavity formed by subdomains IIA and IIIA. In agreement with available experimental data, our simulations show that the global structure of HSA becomes more compact in the presence of fullerene, while local structural dynamics of the binding cavity behaves diversely depending on the chemical properties of bound fullerenes. Binding free energy calculations confirmed that the interactions between fullerenes and HSA are dominantly stabilized by van der Waals forces and they further allowed the identification of key residues involved in fullerene binding. The structural and energetic insights obtained from this work may help for the development of fullerene-based drug delivery devices and therapeutic agents with improved biological profile.

Indexed as

Binding SitesFullerenesHumansKineticsMolecular Docking SimulationMolecular Dynamics SimulationProtein BindingProtein Interaction Domains and MotifsProtein Structure, SecondaryQuantum TheorySerum AlbuminStructure-Activity RelationshipThermodynamicsFullerenesSerum Albumin

Identifiers

PMID26093686
OpenAlexW611397775

What OpenQuestion holds

Textmetadata
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.