Evidence map›Paper›PMID 24935104›Full record

ArticleJournal of molecular modeling2014

Understanding electrostatic and steric requirements related to hypertensive action of AT(1) antagonists using molecular modeling techniques.

Danielle da C Silva, Vinicius G Maltarollo, Emmanuela Ferreira de Lima, Karen Cacilda Weber, Kathia M Honorio

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Journal of molecular modeling, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 47% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

5 authors at 3 institutions in 1 country.

Danielle da C SilvaCentro de Ciências Naturais e Humanas, Universidade Federal do ABC, Santo André, Brazil.
Vinicius G Maltarollo
Emmanuela Ferreira de Lima
Karen Cacilda Weber
Kathia M Honorio
Universidade Federal do ABC · BRUniversidade de São Paulo · BRUniversidade Federal da Paraíba · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

AT1 receptor is an interesting biological target involved in several important diseases, such as blood hypertension and cardiovascular pathologies. In this study we investigated the main electrostatic and steric features of a series of AT1 antagonists related to hypertensive activity using structure and ligand-based strategies (docking and CoMFA). The generated 3D model had good internal and external consistency and was used to predict the potency of an external test set. The predicted values of pIC50 are in good agreement with the experimental results of biological activity, indicating that the 3D model can be used to predict the biological property of untested compounds. The electrostatic and steric CoMFA maps showed molecular recognition patterns, which were analyzed with structure-based molecular modeling studies (docking). The most and the least potent compounds docked into the AT1 binding site were subjected to molecular dynamics simulations with the aim to verify the stability and the flexibility of the ligand-receptor interactions. These results provided valuable insights on the electronic/structural requirements to design novel AT1 antagonists.

Indexed as

Molecular Docking SimulationMolecular Dynamics SimulationStatic ElectricityAngiotensin II Type 1 Receptor BlockersAntihypertensive AgentsBinding SitesBlood PressureComputer-Aided DesignDrug DesignLigandsMolecular StructureProtein BindingProtein ConformationQuantitative Structure-Activity RelationshipReceptor, Angiotensin, Type 1Renin-Angiotensin SystemAngiotensin II Type 1 Receptor BlockersAntihypertensive AgentsLigandsReceptor, Angiotensin, Type 1

Identifiers

PMID24935104
OpenAlexW1979663790

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.