Your browser doesn't support javascript.
loading
Identification of potential therapeutic intervening targets by in-silico analysis of nsSNPs in preterm birth-related genes.
Azmi, Muhammad Bilal; Khan, Waqasuddin; Azim, M Kamran; Nisar, Muhammad Imran; Jehan, Fyezah.
Afiliação
  • Azmi MB; Department of Biochemistry, Dow Medical College, Dow University of Health Sciences, Karachi, Pakistan.
  • Khan W; Department of Biosciences, Faculty of Life Sciences, Mohammad Ali Jinnah University, Karachi, Pakistan.
  • Azim MK; Biorepositroy and Omics Research Group, Department of Pediatrics and Child Health, Faculty of Health Sciences, Medical College, The Aga Khan University, Karachi, Pakistan.
  • Nisar MI; Department of Pediatrics and Child Health, Faculty of Health Sciences, Medical College, The Aga Khan University, Karachi, Pakistan.
  • Jehan F; CITRIC Center for Bioinformatics and Computational Biology, Department of Pediatrics and Child Health, Faculty of Health Sciences, Medical College, The Aga Khan University, Karachi, Pakistan.
PLoS One ; 18(3): e0280305, 2023.
Article em En | MEDLINE | ID: mdl-36881567
Assuntos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Genes Reguladores / Nascimento Prematuro Tipo de estudo: Clinical_trials / Diagnostic_studies / Prognostic_studies Limite: Humans / Newborn Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Genes Reguladores / Nascimento Prematuro Tipo de estudo: Clinical_trials / Diagnostic_studies / Prognostic_studies Limite: Humans / Newborn Idioma: En Ano de publicação: 2023 Tipo de documento: Article