Evidence map›Paper›PMID 30477154›Full record

ArticleInternational journal of molecular sciences2018

Studies on the Dual Activity of EGFR and HER-2 Inhibitors Using Structure-Based Drug Design Techniques.

Rafaela Molina de Angelo, Michell de Oliveira Almeida, Heberth de Paula, Kathia Maria Honorio

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. p63 at the Crossroads between Stemness and Metastasis in Breast Cancer.International journal of molecular sciences · 2019
    Review
  5. Frontiers in chemistry · 2019
    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

4 authors.

Rafaela Molina de AngeloSchool of Arts, Sciences and Humanities (EACH), University of São Paulo (USP), São Paulo 03828-000, Brazil. rafaela.molina.angelo@usp.br.
Michell de Oliveira AlmeidaCenter for Natural and Human Sciences (CCNH), Federal University of ABC (UFABC), Santo André 09210-580, Brazil. michelloliveira02@gmail.com.ORCID 0000-0002-9427-1690
Heberth de PaulaSchool of Arts, Sciences and Humanities (EACH), University of São Paulo (USP), São Paulo 03828-000, Brazil. heberth.paula@ufes.br.ORCID 0000-0001-6197-4165
Kathia Maria HonorioSchool of Arts, Sciences and Humanities (EACH), University of São Paulo (USP), São Paulo 03828-000, Brazil. kmhonorio@usp.br.ORCID 0000-0002-6938-0676

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

HER-2 and EGFR are biological targets related to the development of cancer and the discovery and/or development of a dual inhibitor could be a good strategy to design an effective drug candidate. In this study, analyses of the chemical properties of a group of substances having affinity for both HER-2 and EGFR were carried out with the aim of understanding the main factors involved in the interaction between these inhibitors and the biological targets. Comparative analysis of molecular interaction fields (CoMFA) and comparative molecular similarity index analysis (CoMSIA) techniques were applied on 63 compounds. From CoMFA analyses, we found for both HER-2 (r² calibration = 0.98 and q²

Indexed as

Drug DesignModels, MolecularQuantitative Structure-Activity RelationshipBinding SitesErbB ReceptorsHumansMolecular ConformationMolecular Docking SimulationMolecular Dynamics SimulationProtein BindingProtein Kinase InhibitorsReproducibility of ResultsErbB ReceptorsProtein Kinase InhibitorscancerCoMFACoMSIAdockingdrug designdual inhibitorEGFRHER-2

Identifiers

PMID30477154
PMCPMC6321113

What OpenQuestion holds

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Registered trials

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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.