Protein biomarker druggability profiling.
J Biomed Inform
; 66: 241-247, 2017 02.
Article
em En
| MEDLINE
| ID: mdl-28131723
ABSTRACT
Developing automated and interactive methods for building a model by incorporating mechanistic and potentially causal annotations of ranked biomarkers of a disease or clinical condition followed by a mapping into a contextual framework in disease-linked biochemical pathways can be used for potential drug-target evaluation and for proposing new drug targets. We demonstrate the potential of this approach using ranked protein biomarkers obtained in neonatal sepsis by enrolling 127 infants (39 infants with late onset neonatal sepsis and 88 control infants) and by performing a focused proteomic profile of the sera and by applying the interactive druggability profiling algorithm (DPA) developed by us.
Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Algoritmos
/
Biomarcadores
/
Proteômica
/
Sepse Neonatal
Tipo de estudo:
Diagnostic_studies
/
Prognostic_studies
Limite:
Humans
/
Newborn
Idioma:
En
Ano de publicação:
2017
Tipo de documento:
Article