Evidence map›Paper›PMID 29228029›Full record

ArticlePloS one2017

Pockets as structural descriptors of EGFR kinase conformations.

Marcia Anahi Hasenahuer, German Patricio Barletta, Sebastián Fernandez-Alberti, Gustavo Parisi, María Silvina Fornasari

Erratum issuedAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Review
  3. Are 19del and L858R really different disease entities?Future oncology (London, England) · 2024
    Review
  4. Article
  5. Review
  6. Review
  7. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Marcia Anahi HasenahuerDepartamento de Ciencia Y Tecnología, Universidad Nacional de Quilmes, Bernal, Buenos Aires, Argentina.ORCID http://orcid.org/0000-0002-0524-1116
German Patricio BarlettaDepartamento de Ciencia Y Tecnología, Universidad Nacional de Quilmes, Bernal, Buenos Aires, Argentina.ORCID http://orcid.org/0000-0002-0806-0812
Sebastián Fernandez-AlbertiDepartamento de Ciencia Y Tecnología, Universidad Nacional de Quilmes, Bernal, Buenos Aires, Argentina.
Gustavo ParisiDepartamento de Ciencia Y Tecnología, Universidad Nacional de Quilmes, Bernal, Buenos Aires, Argentina.ORCID http://orcid.org/0000-0001-7444-1624
María Silvina FornasariDepartamento de Ciencia Y Tecnología, Universidad Nacional de Quilmes, Bernal, Buenos Aires, Argentina.ORCID http://orcid.org/0000-0003-2081-0222

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epidermal Growth Factor Receptor (EGFR), a tyrosine kinase receptor, is one of the main tumor markers in different types of cancers. The kinase native state is mainly composed of two populations of conformers: active and inactive. Several sequence variations in EGFR kinase region promote the differential enrichment of conformers with higher activity. Some structural characteristics have been proposed to differentiate kinase conformations, but these considerations could lead to ambiguous classifications. We present a structural characterisation of EGFR kinase conformers, focused on active site pocket comparisons, and the mapping of known pathological sequence variations. A structural based clustering of this pocket accurately discriminates active from inactive, well-characterised conformations. Furthermore, this main pocket contains, or is in close contact with, ≈65% of cancer-related variation positions. Although the relevance of protein dynamics to explain biological function has been extensively recognised, the usage of the ensemble of conformations in dynamic equilibrium to represent the functional state of proteins and the importance of pockets, cavities and/or tunnels was often neglected in previous studies. These functional structures and the equilibrium between them could be structurally analysed in wild type as well as in sequence variants. Our results indicate that biologically important pockets, as well as their shape and dynamics, are central to understanding protein function in wild-type, polymorphic or disease-related variations.

Indexed as

Catalytic DomainCluster AnalysisErbB ReceptorsHumansProtein ConformationErbB Receptors

Identifiers

PMID29228029
PMCPMC5724837

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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.