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Protein biomarker druggability profiling.


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.

SUBMITTER: Mani S 

PROVIDER: S-EPMC6286812 | biostudies-other | 2017 Feb

REPOSITORIES: biostudies-other

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Protein biomarker druggability profiling.

Mani Subramani S   Cannon Daniel D   Ohls Robin R   Oprea Tudor T   Mathias Stephen S   Ballard Karri K   Ursu Oleg O   Bologa Cristian C  

Journal of biomedical informatics 20170125


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 infan  ...[more]

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