Fliri, Anton F. published the artcileDrug effects viewed from a signal transduction network perspective, Quality Control of 38260-01-4, the publication is Journal of Medicinal Chemistry (2009), 52(24), 8038-8046, database is CAplus and MEDLINE.
Understanding how drugs affect cellular network structures and how resulting signals are translated into drug effects holds the key to the discovery of medicines. Herein we examine this cause-effect relationship by determining protein network structures associated with the generation of specific in vivo drug-effect patterns. Medicines having similar in vivo pharmacol. have been identified by a comparison of drug-effect profiles of 1320 medicines. Protein network positions reached by these medicines were ascertained by examining the coinvestigation frequency of these medicines and 1179 protein network constituents in millions of scientific investigations. Interestingly, medicine associations obtained by comparing by drug-effect profiles mirror those obtained by comparing drug-protein coinvestigation frequency profiles, demonstrating that these drug-protein reachability profiles are relevant to in vivo pharmacol. By using protein associations obtained in these investigations and independent, curated protein interaction information, drug-mediated protein network topol. models can be constructed. These protein network topol. models reveal that drugs having similar pharmacol. profiles reach similar discrete positions in cellular protein network systems and provide a network view of medicine cause-effect relationships.
Journal of Medicinal Chemistry published new progress about 38260-01-4. 38260-01-4 belongs to catalysis-chemistry, auxiliary class Chelating Agents, name is N1,N1′-(Ethane-1,2-diyl)bis(ethane-1,2-diamine) dihydrochloride, and the molecular formula is C6H20Cl2N4, Quality Control of 38260-01-4.
Referemce:
https://courses.lumenlearning.com/boundless-chemistry/chapter/catalysis/,
Catalysis – Wikipedia