Bioinformatic networks: Molecular reticles for pinpointing pharmacological target selection

R. S. Faustino, Andre Terzic

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

Bridging centrality was developed as a novel metric to capitalize on rich biological networks and enable selection of therapeutically efficient, druggable candidates. Through incorporation of local and global network properties, targetable nodes are identified that harbor latent capacity to intercept informational flow without compromising systemic functionality. Translational implementation holds potential for increased therapeutic specificity and offers opportunities to add value to drug discovery and development through facilitation of individualized treatment.

Original languageEnglish (US)
Pages (from-to)543-545
Number of pages3
JournalClinical Pharmacology and Therapeutics
Volume84
Issue number5
DOIs
StatePublished - Nov 2008

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Drug Discovery
Computational Biology
Pharmacology
Therapeutics

ASJC Scopus subject areas

  • Pharmacology (medical)
  • Pharmacology

Cite this

Bioinformatic networks : Molecular reticles for pinpointing pharmacological target selection. / Faustino, R. S.; Terzic, Andre.

In: Clinical Pharmacology and Therapeutics, Vol. 84, No. 5, 11.2008, p. 543-545.

Research output: Contribution to journalArticle

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