Protein biomarker druggability profiling.
Document Type
Article
Publication Date
2-1-2017
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.
Publication Title
Journal of biomedical informatics
ISSN
1532-0480
Volume
66
First Page
241
Last Page
247
Recommended Citation
Mani, Subramani; Daniel Cannon; Robin Ohls; Tudor Oprea; Stephen Mathias; Karri Ballard; Oleg Ursu; and Cristian Bologa.
"Protein biomarker druggability profiling.."
Journal of biomedical informatics
