Evidence map›Paper›PMID 21080015›Full record

ArticleJournal of molecular modeling2011

A computational study of CYP3A4 mediated drug interaction profiles for anti-HIV drugs.

Jayakanthan Mannu, Pranitha Jenardhanan, Premendu P Mathur

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of molecular modeling, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

7 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. A review on recent developments of indole-containing antiviral agents.European journal of medicinal chemistry · 2015
    Review
  4. Article
  5. Article
  6. Article
  7. 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

3 authors at 1 institution in 1 country.

Jayakanthan MannuCentre of Excellence in Bioinformatics, School of Life Sciences, Pondicherry University, Pondicherry 605014, India.
Pranitha Jenardhanan
Premendu P Mathur
Pondicherry University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular docking is a reliable method with which to identify the binding conformations of substrates, inducers and inhibitors of cytochrome P450 (CYP) enzymes. We used the docking method to explore possible binding modes of an entry inhibitor (maraviroc) and non-nucleoside reverse transcriptase inhibitors (delavirdine, efavirenz and etravirine) to cytochrome P450 3A4 (CYP3A4). In addition, docking results were compared with the binding conformations of HIV protease drugs to infer the binding site residues and potential drug-drug interaction profiles for combination therapy in the treatment of AIDS. We observed that efavirenz and etravirine induce metabolism of co-administered drugs by binding to a unique position in the active site of CYP3A4. Dosage adjustment is required for delavirdine and maraviroc when combined with HIV protease drugs. The present results are in good agreement with experimental data from drug interaction profiles. The information provided in this paper will be helpful in furthering our understanding the functions of CYP3A4, and could aid in the design of new drugs that would be metabolized easily without having any drug-drug interaction profile.

Indexed as

Anti-HIV AgentsBinding SitesCatalytic DomainCytochrome P-450 CYP3ADrug DesignDrug InteractionsHumansModels, MolecularMolecular ConformationAnti-HIV AgentsCYP3A4 protein, humanCytochrome P-450 CYP3A

Identifiers

PMID21080015
OpenAlexW2150053874

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.