Combinations of protein-chemical complex structures reveal new targets for established drugs.
Biological networks are powerful tools for predicting undocumented relationships between molecules. The underlying principle is that existing interactions between molecules can be used to predict new interactions. Here we use this principle to suggest new protein-chemical interactions via the networ...
Main Authors: | Olga V Kalinina, Oliver Wichmann, Gordana Apic, Robert B Russell |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2011-05-01
|
Series: | PLoS Computational Biology |
Online Access: | http://europepmc.org/articles/PMC3088657?pdf=render |
Similar Items
-
Content disputes in Wikipedia reflect geopolitical instability.
by: Gordana Apic, et al.
Published: (2011-01-01) -
Combining specificity determining and conserved residues improves functional site prediction
by: Gelfand Mikhail S, et al.
Published: (2009-06-01) -
Evolution of multidomain proteins in genomes
by: Apic, Gordana
Published: (2003) -
NSAIDs: Old Drugs Reveal New Anticancer Targets
by: Gary A. Piazza, et al.
Published: (2010-05-01) -
Prediction of Effective Drug Combinations by Chemical Interaction, Protein Interaction and Target Enrichment of KEGG Pathways
by: Lei Chen, et al.
Published: (2013-01-01)