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Cancer-Related Mutations in the Sam Domains of EphA2 Receptor and Ship2 Lipid Phosphatase: A Computational Study.
Vincenzi, Marian; Mercurio, Flavia Anna; Autiero, Ida; Leone, Marilisa.
Afiliação
  • Vincenzi M; Institute of Biostructures and Bioimaging, Via Pietro Castellino 111, 80131 Naples, Italy.
  • Mercurio FA; Institute of Biostructures and Bioimaging, Via Pietro Castellino 111, 80131 Naples, Italy.
  • Autiero I; Institute of Biostructures and Bioimaging, Via Pietro Castellino 111, 80131 Naples, Italy.
  • Leone M; Institute of Biostructures and Bioimaging, Via Pietro Castellino 111, 80131 Naples, Italy.
Molecules ; 29(5)2024 Feb 27.
Article em En | MEDLINE | ID: mdl-38474536
ABSTRACT
The lipid phosphatase Ship2 interacts with the EphA2 receptor by forming a heterotypic Sam (sterile alpha motif)-Sam complex. Ship2 works as a negative regulator of receptor endocytosis and consequent degradation, and anti-oncogenic effects in cancer cells should be induced by hindering its association with EphA2. Herein, a computational approach is presented to investigate the relationship between Ship2-Sam/EphA2-Sam interaction and cancer onset and further progression. A search was first conducted through the COSMIC (Catalogue of Somatic Mutations in Cancer) database to identify cancer-related missense mutations positioned inside or close to the EphA2-Sam and Ship2-Sam reciprocal binding interfaces. Next, potential differences in the chemical-physical properties of mutant and wild-type Sam domains were evaluated by bioinformatics tools based on analyses of primary sequences. Three-dimensional (3D) structural models of mutated EphA2-Sam and Ship2-Sam domains were built as well and deeply analysed with diverse computational instruments, including molecular dynamics, to classify potentially stabilizing and destabilizing mutations. In the end, the influence of mutations on the EphA2-Sam/Ship2-Sam interaction was studied through docking techniques. This in silico approach contributes to understanding, at the molecular level, the mutation/cancer relationship by predicting if amino acid substitutions could modulate EphA2 receptor endocytosis.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Receptor EphA2 / Neoplasias Idioma: En Revista: Molecules Assunto da revista: BIOLOGIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Itália

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Receptor EphA2 / Neoplasias Idioma: En Revista: Molecules Assunto da revista: BIOLOGIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Itália