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Structural analysis of factors related to FAM3C/ILEI dimerization and identification of inhibitor candidates targeting cancer treatment.
Flores, Robert Malory Alarcon; Pantaleão, Simone Queiroz; Araujo, Sheila Cruz; Malpartida, Humberto Miguel Garay; Honorio, Kathia Maria.
Afiliação
  • Flores RMA; Center for Sciences Natural and Human, Federal University of ABC, 09210-170 Santo André, SP, Brazil.
  • Pantaleão SQ; Center for Mathematics, Computing, and Cognition, Federal University of ABC, 09210-170 Santo André, SP, Brazil.
  • Araujo SC; Center for Sciences Natural and Human, Federal University of ABC, 09210-170 Santo André, SP, Brazil.
  • Malpartida HMG; School of Arts, Sciences and Humanities, University of São Paulo, 03828-0000 São Paulo, SP, Brazil.
  • Honorio KM; Center for Sciences Natural and Human, Federal University of ABC, 09210-170 Santo André, SP, Brazil; School of Arts, Sciences and Humanities, University of São Paulo, 03828-0000 São Paulo, SP, Brazil. Electronic address: kmhonorio@usp.br.
Comput Biol Chem ; 104: 107869, 2023 Jun.
Article em En | MEDLINE | ID: mdl-37068312
FAM3 is a superfamily of four cytokines that maintain a single globular structure ß -ß -α of three classes: FAM3A, B, C and D. FAM3C was the first member of this family related to cancer and is functionally characterized as an essential factor for the epithelial-mesenchymal transition (EMT), leading to late delays in tumor progression. Due to its crucial role in EMT and metastasis, FAM3C has been termed an interleukin-like EMT (ILEI) inducer. There are several studies on the part of FAM3C in the progression of cancer and other diseases. However, little is known about its cellular receptors and possible inhibitors. In this study, based on in silico approaches, we performed structural analyses of factors related to FAM3C/ILEI dimerization. We also identified four possible inhibitor candidates, expected to be exciting prototypes and could be submitted to future biological tests targeting cancer treatment.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteínas de Neoplasias / Neoplasias Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Comput Biol Chem Assunto da revista: BIOLOGIA / INFORMATICA MEDICA / QUIMICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Brasil País de publicação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteínas de Neoplasias / Neoplasias Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Comput Biol Chem Assunto da revista: BIOLOGIA / INFORMATICA MEDICA / QUIMICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Brasil País de publicação: Reino Unido