Protein biomarker druggability profiling. Academic Article uri icon

start page

  • 241

end page

  • 247

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.Copyright © 2017 Elsevier Inc. All rights reserved.

date/time value

  • February 2017

Digital Object Identifier (DOI)

  • 10.1016/j.jbi.2017.01.014

PubMed Identifier

  • 28131723

volume

  • 66

number